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School of Computational Science and Engineering Open-Rank Tenured/Tenure-TrackFaculty Positions
Salary not disclosed
Atlanta, GA 4 days ago
Apply for JobJob ID291899

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Computational Science and Engineering at the Georgia Institute of Technology

Georgia Tech is organized into six Colleges. The School of Computational Science and Engineering resides in the College of Computing along with the School of Computer Science, the School of Interactive Computing, the School of Cybersecurity and Privacy, and the School of Computing Instruction. Joint appointments with other Schools in the College of Computing as well as Schools in other Colleges are possible.



Location

Atlanta, GA



Job Summary

The School of Computational Science and Engineering (CSE) () at the Georgia Institute of Technology in Atlanta, GA, U.S.A. invites applications for multiple openings for the position of Assistant Professor (tenure-track); openings for Associate Professor and Professor (tenured or tenure-track) are also available. All positions are full-time and are located in Atlanta, GA, U.S.A. The School of CSE focuses on foundational research of an interdisciplinary nature that enables advances in science, engineering, medical, and social domains. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.



Responsibilities

Duties of these positions include developing and sustaining a research program in one or more of our core areas (research) high-performance computing, data science and visual analytics, scientific computing and simulation, artificial intelligence and machine learning, and computational bioscience and biomedicine.

We also welcome candidates in the area of AI and finance, with the opportunity to be considered for the JPMorgan Chase Endowed Career Development Professorship.

Duties also include teaching undergraduate and graduate courses (classroom teaching), as well as providing service to the School, College and the Institute.



Required Qualifications

An earned PhD degree is required by the start date of the job, in a discipline relevant to the field of Computational Science and Engineering, including a degree in Computer Science, Mathematics, Engineering, or Science.



Preferred Qualifications

Applicants are expected to engage in substantive research with collaborators in other disciplines. For example, current faculty have domain expertise and/or collaborations in computational chemistry; earth sciences; biomedical and health sciences; urban systems and smart cities; social good and sustainable development; materials and manufacturing; and others.

Applicants are also expected to meet student success criteria, such as the ability to promote a welcoming educational/work environment.



Required Documents to Attach

Applications must be submitted online as .PDF files through the University System of Georgia CAREERS website. Do not upload reference letters at the University System of Georgia CAREERS website. Instead, create an application (with all application materials) at Academic Jobs Online ajo/jobs/31161 and have your letter writers submit your reference letters at AJO. We apologize for the inconvenience of uploading your documents to two sites.

For full consideration, applications are due by December 31, 2025.

Submit the following items online at this website to complete your application:

- Cover letter
- Curriculum Vitae
- Research statement
- Teaching statement
- A sample publication (the most significant contribution)
- Names of 2-3 Georgia Tech CSE faculty members closest to your research (see people/faculty for current faculty)
- Three or more reference letters (to be submitted online by the reference writers at this AJO site)



Contact Information

Further Info:
.


Questions can be sent to Georgia Tech CSE Faculty Recruiting: .



USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.



Other Information

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.



Background Check

The candidate of choice will be required to pass a pre-employment background screening: employment/pre-employment-screening.



Not Specified
Lecturer Pool - Master of Computational Social Science - ISSP - College ofLetters & Science
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position:

A reasonable full-time salary range for this position is $101,198 to $199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department.

Percent time:
11-100%

Anticipated start:
Spring semester, Jan 1

Review timeline:
Applications are typically reviewed in the fall for spring course needs.

Position duration:
One semester.

Application Window


Open date: September 21, 2025




Most recent review date: Monday, Oct 6, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Sunday, Sep 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The Interdisciplinary Social Sciences Program (ISSP) is the administrative unit that oversees the interdisciplinary majors, minors and graduate programs within the Social Sciences Division of the College of Letters and Sciences at UC Berkeley.



Housed in ISSP, the Master of Computational Social Science (MaCSS) is a new one-year professional master's program that will provide students with practical skills for analyzing, interpreting, and visualizing social data. Social data are data about people, groups, organizations, and their interactions from surveys and censuses, company websites, store loyalty cards, cell-phone records, social media posts, internet searches, etc. MaCSS graduates will be able to work as analysts and data specialists in business, non-profit, and government settings.



DUTIES OF THE POSITION: Teaching one or more of the following courses:

* Introduction to Computing;

* Introduction to Applied Statistics;

* Advanced Computing;

* Applied Statistics;

* Ethics, Data, & Society;

* Special topics in Computational Social Science;

* Career Development;

* Capstone Project



In addition to teaching responsibilities, general duties may include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), writing exams, interacting with students outside of class time via email and/or a course web site, and managing teaching assistants.



Unit:



Qualifications

Basic qualifications (required at time of application)

A Bachelor's Degree or equivalent international degree is required at time of application.



Preferred qualifications

-Prior teaching and/or work experience in computational social science, data science, computing, data analytics, or human resources

-Industry knowledge of data analytics and trends

-Leadership, management, and entrepreneurial skills

-Existing authorization to work in the U.S.



Application Requirements

Document requirements

  • Resume or Curriculum Vitae - Your most recently updated resume or C.V.


  • Cover Letter




Reference requirements
  • 3 required (contact information only)


Apply link:
JPF05101

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
Lecturer - Department of Nutritional Sciences and Toxicology - Rausser Collegeof Natural Resources
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 3 days ago
Position overview

Position title:
Lecturer

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: . A reasonable salary estimate for full-time Lecturer position is $75,301 - $199,722.

Percent time:
Appointments are typically part-time.

Anticipated start:
Applications will be accepted and reviewed for department needs through the final date. Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available. Applications are typically reviewed for fall course needs in April/May, spring course needs in October/November, and summer session course needs in January/February.

Position duration:
Varied and may be renewable based on need, funding, and performance.

Application Window


Open date: June 18, 2025




Most recent review date: Thursday, Jan 8, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Saturday, Jul 18, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The Department of Nutritional Sciences and Toxicology (NST) in the Rausser College of Natural Resources at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach courses in Nutritional Science and related topics, should an opening arise during the academic year and in the summer. The Department of Nutritional Sciences and Toxicology focuses on the metabolic biology of nutrients and toxicants in relation to human health and disease. Our research and curriculum span a breadth of topics, from delivery of nutrients to mammalian cells and their molecular functions, through the influence of genetics on diet-associated human disease, to programs and policies that address human and environmental health and safety.



The department also offers a Master in Nutritional Sciences & Dietetics graduate program, which combines a strong foundation in the biological and chemical sciences with specialized advanced coursework that focuses on nutrient/non-nutrient function and metabolism. The application of this field informs recommendations for dietary patterns to achieve optimum health and the treatment or prevention of disease conditions as well as food production and safety.



The department typically seeks two different types of lecturer positions when available; one is to teach the courses for the Master in Nutritional Sciences & Dietetics graduate program (NST Dietetic Lecturer) and the other one is to teach the non-dietetic courses in the department (NST Non-Dietetic Lecturer). Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending upon the needs of the department.



General Duties:

We are seeking outstanding lecturers who can teach/co-teach small, medium, or large lecture and/or laboratory courses. The primary responsibilities for NST Lecturer positions include:

* Delivering lectures and holding office hours

* Planning and preparing lessons; researching and developing new topics, teaching materials, and online resources

* Supervising Graduate Students Instructors (GSIs), if applicable.

* Mentoring students and contributing to departmental and program activities, if teaching in dietetics

* Coordinating lab preparations with the Teaching Lab Staff, if teaching a lab course

* Developing exams and projects and assigning grades

* Maintaining accurate records and monitoring students' progress, as well as addressing any special student needs

* Maintaining knowledge of, and implementing, college policies.



If applying for a dietetic lecturer position, please indicate so by selecting the "Dietetic Lecturer" specialization. If applying for a non-dietetic lecturer position, please indicate so by selecting the "Non-Dietetic Lecturer" specialization.



Department:

Labor Contract:



Qualifications

Basic qualifications (required at time of application)

The minimum qualification required to be an applicant is a completed Bachelor's Degree (or equivalent international degree) by the time of application.



Additional qualifications (required at time of start)

For NST Non-Dietetic lecturers:



The completion of a Ph.D. degree (or equivalent international degree) or M.D. degree (or equivalent international degree) by the start date of the job.



Preferred qualifications

For NST Dietetic lecturers:

* The completion of a Master's degree or equivalent advanced degree in dietetics, nutrition, food service, public health, or a related field at the time of application.

* Five years or more of professional experience in dietetics practice.

* Registered Dietitians with demonstrated ability to teach professional courses in the DPD curriculum.

* Leadership experience and demonstrated commitment to the profession of dietetics.

* For Food Service Management instructors, the applicant should have the ServSafe Protection Manager certification.



For NST Non-Dietetic lecturers:

* Experience in teaching biological lab techniques.

* Advanced degree in Bioscience



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Teaching - Indicate teaching subject areas of interest and how your professional experiences have prepared you to instruct subject areas.




Reference requirements
  • 3 required (contact information only)

Applicants should include the names and contact information of three references. Letters of reference may be requested of finalists.



Apply link:
JPF04976

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
School of Computational Science and Engineering - Tenure Track Faculty Open RankPosition
🏢 Georgia Tech
Salary not disclosed
Atlanta, GA 3 days ago
Apply for JobJob ID278695

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

  1. Students are our top priority.
  2. We strive for excellence.
  3. We thrive on diversity.
  4. We celebrate collaboration.
  5. We champion innovation.
  6. We safeguard freedom of inquiry and expression.
  7. We nurture the wellbeing of our community.
  8. We act ethically.
  9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Computational Science and Engineering at the Georgia Institute of Technology

Georgia Tech is organized into six Colleges. The School of Computational Science and Engineering resides in the College of Computing along with the School of Computer Science, the School of Interactive Computing, the School of Cybersecurity and Privacy, and the School of Computing Instruction. Joint appointments with other Schools in the College of Computing as well as Schools in other Colleges are possible.



Location

Atlanta, GA



Job Summary

The School of Computational Science and Engineering (CSE) () at the Georgia Institute of Technology in Atlanta, GA, U.S.A. invites applications for multiple openings for the position of Assistant Professor (tenure-track); openings for Associate Professor and Professor (tenured or tenure-track) are also available. All positions are full-time and are located in Atlanta, GA, U.S.A. The School of CSE focuses on foundational research of an interdisciplinary nature that enables advances in science, engineering, medical, and social domains. Candidates are expected to demonstrate an exceptional commitment to the teaching and mentoring of students.



Responsibilities

Duties of these positions include developing and sustaining a research program in one or more of our core areas (research) high-performance computing, data science and visual analytics, scientific computing and simulation, artificial intelligence and machine learning, and computational bioscience and biomedicine. Duties also include teaching undergraduate and graduate courses (classroom teaching), as well as providing service to the School, College and the Institute.



Required Qualifications

An earned PhD degree is required by the start date of the job, in a discipline relevant to the field of Computational Science and Engineering, including a degree in Computer Science, Mathematics, Engineering, or Science.



Preferred Qualifications

Applicants are expected to engage in substantive research with collaborators in other disciplines. For example, current faculty have domain expertise and/or collaborations in computational chemistry; earth sciences; biomedical and health sciences; urban systems and smart cities; social good and sustainable development; materials and manufacturing; and others.

Applicants are also expected to meet student success criteria, such as the ability to promote a welcoming educational/work environment.



Required Documents to Attach

Applications must be submitted online as .PDF files through the University System of Georgia CAREERS website. Do not upload reference letters at the University System of Georgia CAREERS website. Instead, create an application (with all application materials) at Academic Jobs Online ajo/jobs/29037 and have your letter writers submit your reference letters at AJO. We apologize for the inconvenience of uploading your documents to two sites.

For full consideration, applications are due by December 1, 2024.

Submit the following items online at this website to complete your application:

  • Cover letter
  • Curriculum Vitae
  • Research statement
  • Teaching statement
  • A sample publication (the most significant contribution)
  • Names of 2-3 Georgia Tech CSE faculty members closest to your research (see people/faculty for current faculty)
  • Three or more reference letters (to be submitted online by the reference writers at this AJO site)


Contact Information

Further Info:

Questions can be sent to Georgia Tech CSE Faculty Recruiting



USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia ( ).



Background Check

The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.



Not Specified
Instructor Pool - Online Data Analytics, Data Science, Software Development, andCybersecurity Programs - UC Berkeley Extension
✦ New
🏢 University of California-Berkeley
Salary not disclosed
Position overview

Position title:
Instructor (Non-Senate, Non-Tenure Track)

Salary range:
The compensation model varies depending upon the course delivery format. For a synchronous Live Online course, a reasonable estimate for this position is $3,000 -$4,000 total per course. For an asynchronous Start Anytime Online course, this position is paid $165 per final student course grade submitted each month; a reasonable estimate ranges from $660 - $21,285 total per course; and monthly payments typically begin within 6 months after the course start date. Instructor compensation is determined by course length, number of units, enrollment, budgetary considerations, and other factors.

Percent time:
Part-time by agreement on a course-by-course basis.

Anticipated start:
Some appointments may begin as early as the spring semester.

Review timeline:
Applicants are considered for positions as needs arise; the existence of this applicant pool does not guarantee that a position is available. The applicant pool will remain in place for 9-12 months; those interested in remaining in the applicant pool beyond the advertised final closing date must reapply.

Position duration:
Length of courses differs depending on the subject, level, format/schedule, and credits taught. For the fall, spring, and summer semesters, course length typically ranges from approximately 10 to 12 weeks. For asynchronous online start anytime courses, agreement length typically ranges from 9 to 18 months. Further course agreements may be assigned based upon program needs, meritorious performance, and funding availability.

Application Window


Open date: November 21, 2025




Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.




Final date: Friday, Nov 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.



UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.



Courses are offered online:




  • Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  • Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).


Course Subjects

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.



Data Analytics and Data Science




  • Introduction to SQL
  • Introduction to Databases
  • Data Warehousing and Business Intelligence
  • Data Visualization
  • Introduction to Data Analytics
  • Python for Data Analysis
  • R for Data Analysis
  • Data Analytics Capstone
  • Introduction to Big Data
  • Introduction to Data Science
  • Introduction to Machine Learning Using Python
  • Machine Learning and Deep Learning
  • Artificial Intelligence Foundations
  • Data Science Capstone


Software Development and Advanced Software Development




  • Introduction to C Language Programming
  • C++ Programming
  • First Course in Java
  • Programming Python
  • Data Structures and Algorithms
  • Front-End Web Development
  • JavaScript Frameworks
  • Modern Web Applications and Cloud Computing
  • Software Design Patterns
  • Software Quality Assurance
  • Software Development Capstone
  • Java: Discovering Its Power
  • Mastering Python
  • Back-End Development with Java/Python
  • Web Software Security Frameworks
  • Advanced Databases
  • Advanced Software Development Capstone


Cybersecurity




  • Advanced Network Cybersecurity and AI Monitoring
  • Cybersecurity AI Risk Management and Governance
  • Automated Cybersecurity Incident Response and Digital Forensics
  • Advanced Topics in AI Cybersecurity and Capstone


Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)



General Duties

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).




  • For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  • For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  • For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.


U.S.A. Residency and U.S.A. Work Authorization


  • All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.


Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses



Qualifications

Basic qualifications (required at time of application)

  • Bachelor's degree or equivalent international degree required.


Additional qualifications (required at time of start)

  • 5 or more years of professional industry work experience since degree.


Preferred qualifications

  • 6 or more years of professional industry work experience in the course subject.
  • Advanced degree in course subject preferred.
  • Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  • Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  • Experience teaching online and/or developing academic content for online courses.
  • Ability to convey conceptual and complex ideas and information.
  • Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  • Effective verbal/written communication and presentation skills (English).
  • Effective organizational skills with attention to detail.
  • Ability to collaborate with colleagues and work within a team environment.
  • Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).


Application Requirements

Document requirements

  • Curriculum Vitae or Resume - Your most recently updated C.V. or resume.


  • Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

    (Optional)


  • Sample Syllabi and/or Teaching Evaluations (Optional)




Reference requirements

  • References are requested from candidates at the interviewing stage, and references are only contacted for finalists.


Apply link:
JPF05017

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
San Francisco Bay Area, California, U.S.A.
Remote working/work at home options are available for this role.
Not Specified
Lecturer - Department of Statistics - College of Computing, Data Science andSociety
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 4 days ago
Position overview

Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table(s) for the current salary scale(s) for the Lecturer position: The current full-time salary range for the Lecturer position is $70,977-$199,722.

Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department. The current salary range for TSP positions is $1,455.90 - $3,440 flat rate per bootcamp taught.

Percent time:
11%-100%

Anticipated start:
We typically start reviewing applications for Fall and Summer courses in December, for Spring courses in August-September, however we encourage applications throughout the year as new needs may arise.

Anticipated start date for TSP is summer 2026 or future semesters.

Application Window


Open date: July 1, 2025




Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.



We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.



Teaching Responsibilities:



STATISTICS 2: Introduction to Statistics

STATISTICS C8: Foundations of Data Science

STATISTICS 20: Introduction to Probability and Statistics

STATISTICS 21: Introduction to Probability and Statistics for Business

STATISTICS 33A: Introduction to Programming in R

STATISTICS 33B: Introduction to Advanced R

STATISTICS 88: Probability and Mathematical Statistics in Data Science

STATISTICS C100: Principles and Techniques of Data Science

STATISTICS 131A: Statistical Methods for Data Science

STATISTICS 133: Concepts in Computing with Data

STATISTICS 134: Concepts of Probability

STATISTICS 135: Concepts of Statistics

STATISTICS 150: Stochastic Processes

STATISTICS 151A: Linear Modeling: Theory and Applications

STATISTICS 153: Time Series

STATISTICS 154: Modern Statistical Prediction and Machine Learning

STATISTICS 155: Game Theory

STATISTICS 159: Reproducible and Collaborative Statistical Data Science



General Duties:



General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.



TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .



Department:

Division:

To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::

Statistics Course Descriptions: courses/stat/



Qualifications

Basic qualifications (required at time of application)

The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).



Additional qualifications (required at time of start)

Additional qualifications include evidence of college level instructional experience.



Preferred qualifications

Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Cover Letter


  • Statement of Teaching Philosophy and Experience


  • Teaching Documentation - Teaching materials and/or student evaluations.


  • Copy of Transcript (Optional)




Reference requirements
  • 2-3 required (contact information only)


Apply link:
JPF04974

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, CA
Not Specified
School of Computer Science Open-Rank Tenured/Tenure-Track Faculty Positions
🏢 Georgia Tech
Salary not disclosed
Atlanta, GA 3 days ago
Apply for JobJob ID291901

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

1. Students are our top priority.

2. We strive for excellence.

3. We thrive on diversity.

4. We celebrate collaboration.

5. We champion innovation.

6. We safeguard freedom of inquiry and expression.

7. We nurture the wellbeing of our community.

8. We act ethically.

9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Computer Science at the Georgia Institute of Technology

The School of Computer Science, one of five schools in the top ten ranked College of Computing, focuses on research that makes computing and communication smart, fast, reliable, and secure, with research groups in computer architecture, databases, machine learning, networking, programming languages & compilers, software engineering, systems, and theory. Faculty from our school are leaders in a variety of Georgia Tech initiatives, including the Algorithms and Randomness Center (ARC), the Center for Machine Learning ( ), the Center for Research into Novel Computing Hierarchies (CRNCH), and the Institute for Data Engineering and Science (IDEaS).




Location

Atlanta, GA



Job Summary

The School of Computer Science at the Georgia Institute of Technology (Georgia Tech) in Atlanta, Georgia, USA, invites applications for several tenure-track faculty positions at all ranks: Assistant Professor, Associate Professor, and Professor. We seek candidates in all areas of computer science that complement and enhance our current research strengths and are especially interested this year in candidates whose research focus is in the broad areas of software engineering, data systems (database), theoretical computer science, and quantum systems.



Responsibilities

As a tenure-track faculty member, a successful candidate will engage in substantive research individually and/or with collaborators in the same or other disciplines. In addition, a successful candidate will be expected to teach one graduate or undergraduate course per semester, in Georgia Tech's Atlanta campus, as well as contribute service to the School and Institute.



Required Qualifications

Applicants must have a Ph.D. in Computer Science, or a related field (including Computer Engineering, Electrical Engineering, Information Science, or Computing) by the start of the appointment.



Preferred Qualifications

Applicants must show evidence of outstanding academic research credentials and stellar potential in their field of study, a sincere commitment to teaching, and an interest and ability to promote a welcoming educational/work environment. We seek faculty candidates committed to student success including but not limited to:

  • The ability to mentor and assist students interested in pursuing graduate education.
  • The ability to engage in high-impact practices that support deep learning for student success.


Required Documents to Attach

A full application should include a cover letter, curriculum vitae, a statement of research interests, a teaching statement that includes a description of teaching interests as well as an advising/mentoring philosophy, and the contact information of at least three references. We ask that applicants clearly indicate their research area(s) and focus on their cover letters. Applications should be submitted via the Georgia Tech Careers website, and reference letter information should be submitted at Academic Jobs Online, located ajo/jobs/30992

Applicants are encouraged to submit their applications as soon as possible. For full consideration, applications should be received by December 31, 2025, but will be considered until all open positions are filled.



Contact Information

Request for information may be directed to Kelly Rockwell -



USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.



Background Check

The candidate of choice will be required to pass a preemployment background screening. /employment/pre-employment-screening.



Not Specified
Open Rank - School of Computer Science Tenured/Tenure-Track Faculty Positions
🏢 Georgia Tech
Salary not disclosed
Atlanta, GA 3 days ago
Apply for JobJob ID277800

LocationAtlanta, Georgia

Full/Part TimeFull-Time

Regular/TemporaryRegular

Add to Favorite JobsEmail this Job

About Us

Overview

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech's Mission and Values

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

  1. Students are our top priority.
  2. We strive for excellence.
  3. We thrive on diversity.
  4. We celebrate collaboration.
  5. We champion innovation.
  6. We safeguard freedom of inquiry and expression.
  7. We nurture the wellbeing of our community.
  8. We act ethically.
  9. We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

About the School of Computer Science at the Georgia Institute of Technology

The School of Computer Science, one of five schools in the top-ten ranked College of Computing, focuses on research that makes computing and communication smart, fast, reliable, and secure, with research groups in computer architecture, databases, machine learning, networking, programming languages & compilers, software engineering, systems, and theory. Faculty from our school are leaders in a variety of Georgia Tech initiatives, including the Algorithms and Randomness Center (ARC), the Center for Machine Learning ( ), the Center for Research into Novel Computing Hierarchies (CRNCH), and the Institute for Data Engineering and Science (IDEaS).



Location

Atlanta, GA



Job Summary

The School of Computer Science at the Georgia Institute of Technology (Georgia Tech) in Atlanta, Georgia, USA, invites applications for several tenure track faculty positions at all ranks Assistant Professor, Associate Professor, and Professor. We seek candidates in all areas of computer science that complement and enhance our current research strengths and are especially interested this year in candidates whose research focus is in the broad areas of software engineering, data systems (database) and analytics, and theoretical computer science.



Responsibilities

As a tenure-track faculty member, a successful candidate will engage in substantive research individually and/or with collaborators in the same or other disciplines. In addition, a successful candidate will be expected to teach one graduate or undergraduate course per semester, in Georgia Tech's Atlanta campus, as well as contribute service to the School and Institute.



Required Qualifications

Applicants must have a Ph.D. in Computer Science, or a related field (including Computer Engineering, Electrical Engineering, Information Science, or Computing) by the start of the appointment.



Preferred Qualifications

Applicants must show evidence of outstanding academic research credentials and stellar potential in their field of study, a sincere commitment to teaching, and an interest and ability to promote a welcoming educational/work environment. We seek faculty candidates committed to student success including but not limited to:

  • The ability to mentor and assist students interested in pursuing graduate education.
  • The ability to engage in high-impact practices that support deep learning for student success.


Required Documents to Attach

A full application should include a cover letter, curriculum vitae, a statement of research interests, a teaching statement that includes a description of teaching interests as well as an advising/mentoring philosophy, and the contact information of at least three references. We ask that applicants clearly indicate their research area(s) and focus on their cover letters. Applications should be submitted via the Georgia Tech Careers website, and reference letter information should be submitted at Academic Jobs Online, located ajo/jobs/28540

Applicants are encouraged to submit their applications as soon as possible. For full consideration, applications should be received by December 1, 2024. but will be considered until all open positions are filled.



Contact Information

Requests for information may be directed to Kelly Rockwell -



USG Core Values

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.



Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

More information on these policies can be found here: policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia ( ).



Background Check

The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.



Not Specified
Postdoctoral Research Scholar in Implementation Science
Salary not disclosed
Orlando, FL 3 days ago

The Department of Population Health Sciences at the University of Central Florida (UCF) College of Medicine invites applications for aTwo-Years Postdoctoral Research Scholar in Implementation Science.

This position offers a unique opportunity to advance the science and practice of implementing evidence-based interventions and accelerating the uptake of implementation research findings in real-world settings. We take a broad view ofimplementation science, emphasizing its integration across disease areas and conditions, including, but not limited to,HIV prevention and care, mental health, substance use, cancer, diabetes, and other chronic diseases.

The Postdoctoral Fellow will join ahighly collaborative, multidisciplinary teamwithin theImplementation Science Research Lab, housed in the Department of Population Health Sciences. The fellow will have the opportunity to engage in national and international partnerships and contribute to multiple ongoing federally and foundation-funded studies.

Key Responsibilities

The Postdoctoral Research Fellow will play an active role in advancing the mission of the Implementation Science Research Lab and the Department of Population Health Sciences. Responsibilities will be bothindependent and collaborative, with an emphasis on career development, scholarly productivity, and the application of implementation science methods to real-world public health challenges. Specific responsibilities include:



  • Conduct and lead implementation science studiesfocused on understanding and addressing barriers to the adoption, implementation, and sustainment of evidence-based interventions across different populations and health conditions (e.g., HIV, mental health, substance use, cancer, diabetes).

  • Contribute to ongoing federally and foundation-funded research projectsled by the Implementation Science Research Lab, including mixed-methods studies, intervention trials, and community-based participatory research (CBPR) initiatives.

  • Develop and implement their own research agenda, including conceptualizing, designing, and leading pilot or secondary data studies in alignment with their long-term career goals.

  • Prepare and submit extramural grant applications, such as NIH K-series career development awards, R21 exploratory studies, and foundation-funded proposals, with mentorship from senior faculty.

  • Lead and collaborate on manuscript developmentand dissemination of research findings in peer-reviewed journals and professional conferences.

  • Conduct systematic and scoping reviewsto synthesize implementation science evidence, frameworks, and best practices across health and social care contexts.

  • Participate in data coordination, integration, and harmonizationefforts across multisite studies, ensuring methodological rigor and consistency in data management and analysis.

  • Contribute to tool and resource development, including the adaptation and dissemination of implementation frameworks, assessment tools, and training curricula for diverse audiences (e.g., researchers, clinicians, policymakers, and community partners).

  • Mentor and train researchers, students, and practitionersin implementation science methods, research design, and analytical techniques.

  • Engage in professional development activities, including workshops, seminars, and collaborations across departments, to strengthen expertise in implementation research, leadership, and academic career advancement.

  • Collaborate with interdisciplinary and community partners, including public health departments, healthcare systems, and community-based organizations, to co-design and evaluate implementation strategies and promote equity-focused, sustainable change.

  • Contribute to lab management and operations, including coordination of meetings, dissemination efforts, and annual progress reports.

Minimum Qualifications:


  • Doctoral degree (PhD, ScD, DrPH, JD, or equivalent)in public health, psychology, implementation science, health services research, behavioral or social sciences, or a related discipline.
  • Completion of the doctoral degreeprior to the start dateof the appointment.
  • Demonstrated interest and a clearcareer development planin implementation science.
  • Strong writing, analytic, and communication skills; experience working on interdisciplinary or community-engaged projects is desirable.

Special Instructions to the Applicants:

Applicants should submit the following materials as a single PDF:


  • Cover Letter (2-3 pages)describing the applicant's background, research interests, prior training, and career development goals related to implementation science.


  • Curriculum Vitae (CV)orNIH-format biosketch.


Applications will be reviewed on a rolling basis until the position is filled.

For inquiries about the position, contact Prof. Omar Martinez at .

Are you ready to unleash YOUR potential?

As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck.

Are Benefits Important to You?

State Benefits eligibility for OPS employees are subject to criteria established by the State of Florida. The state's benefits administrator, People First, determines eligibility and coordinates enrollment. If this position becomes eligible for state benefits the employee will be notified directly by People First. OPS positions are not entitled to paid time off.

Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins.

Additional Requirements related to Research Positions:

Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela.

The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, post-doctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates.

Department

College of Medicine (COM) - Population Health Operations

Work Schedule

Varies

Type of Appointment

Fixed Term (Fixed Term)

Expected Salary

Negotiable

As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request.

UCF is proud to be a smoke-free campus and an E-Verify employer.

If an accommodation due to a disability is needed to apply for this position, please call or email .

For general application or posting questions, please email .

Not Specified
Health Science Clinical Faculty Pool - HS Clinical Instructor, HSAssistant/Associate/Full Clinical Professor - School of Optometry and VisionScience
🏢 University of California-Berkeley
Salary not disclosed
Berkeley, CA 2 days ago
Position overview

Salary range:
Salary will be commensurate with experience. The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following tables for the current salary scales for this position: [, , & ]. The current base salary range for this position is $80,800-$202,700. "Off-scale" salaries, which yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.

Percent time:
20 - 100%

Anticipated start:
Positions usually start in January, various times throughout the summer and August

Review timeline:
Applications are typically reviewed for fall course needs in April and in September for spring course needs.

Position duration:
One year, with possibility for reappointment on an annual basis.

Application Window


Open date: July 30, 2025




Most recent review date: Thursday, Aug 14, 2025 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.




Final date: Thursday, Jul 30, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.



Position description

The Herbert Wertheim School of Optometry and Vision Science at the University of California, Berkeley invites applications for a pool of qualified health science clinical faculty members at the Clinical Instructor, Assistant, Associate, or Full Clinical Professor level to teach in the School of Optometry and Vision Science and/or Berkeley Optometry partner off-campus clinics, should an opening arise. The number of positions varies from semester to semester, depending on the needs of the department. The pool will remain in place for one calendar year; those interested in remaining in the pool beyond that time must reapply.



The responsibilities of the health science clinical faculty members include teaching optometric student clinicians in the patient care environment, performing direct patient care when student clinicians are unavailable both on or off the UC Berkeley campus, and/or teaching optometric student clinicians the basics of eye examinations sequence in the pre-clinical environment. They may also perform service to the school and community through education or various outreach programs on or off the UC Berkeley campus.



Appointees will be eligible for advancement through the ranks of the Health Sciences Clinical Professor series, based on performance in teaching, professional activity, scholarly and creative activity, and service.



The Herbert Wertheim School of Optometry and Vision Science has excellent clinical facilities and a large, diverse patient population. Over 70,000 patient visits are seen annually within our on campus clinic. About 65 optometry students are graduated annually. The Department is committed to addressing the family needs of faculty, including dual career couples and single parents.



UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family.



Department:



Qualifications

Basic qualifications (required at time of application)

At the time of application candidates must have an OD, MD, DDS, DO, NP, or equivalent clinical degree from an accredited institution (or equivalent international degree).



Additional qualifications (required at time of start)

Candidates must be licensed in the State of California by their respective governing board by the start date and maintain active licensure throughout their term of employment. To be eligible to work, clinic employees must comply with all UC Berkeley Optometry Clinic annual immunization and medical screening requirements, trainings, and University and School policies.



Preferred qualifications

Residency training and Clinical teaching experience are preferred but not required. We seek candidates whose experience, teaching, or community service has prepared them to work collaboratively in a diverse environment and adhere to University policies and procedures.



Application Requirements

Document requirements

  • Curriculum Vitae - Your most recently updated C.V.


  • Statement of Education & Teaching Experience


  • Cover Letter (Optional)




Reference requirements
  • 3-5 required (contact information only)

Candidates should provide the contact information for at least three, but not more than five references at the time of application. Letters of reference will only be solicited for finalists.



Apply link:
JPF05056

Help contact:



About UC Berkeley

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.



The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.



For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.



In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.



As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.


Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.



As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.




  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment


Job location
Berkeley, California
permanent
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