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LocationAtlanta, Georgia
Full/Part TimeFull-Time
Regular/TemporaryRegular
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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 College of Computing at the Georgia Institute of Technology
The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering.
Location
Atlanta, GA
Job Summary
The College of Computing at the Georgia Institute of Technology invites nominations and applications for the position of Chair of the School of Computer Science for the Atlanta campus located in midtown Atlanta, Georgia. The Chair will have the opportunity to build upon the success of the School and the College of Computing. The school has 3 PhD programs in ACO, Computer Science, and Machine Learning as well as Masters and Bachelor degrees which are managed by the College. The School of Computer Science is a leader in the following areas of specialization: Computer Architecture, Data Systems and Analytics, Foundations of Artificial Intelligence, Networking, Programming Languages and Compilers, Software Engineering, Systems, and Theory. The school has academic faculty, endowed chairs, research faculty, postdocs, adjunct faculty, and classified staff along with several research centers.
Responsibilities
Reporting to the Dean of the College of Computing, the Chair has overall responsibility for the academic and research programs in the School of Computer Science specifically focusing on all budgetary, administrative, academic, fiscal, and personal decisions in conjunction with the mission and goals of the College and Georgia Tech. The chair must have a forward-thinking strategic vision and the appropriate skills to lead a group of faculty and staff. Additionally, the Chair will provide overall leadership for all the school's teaching and research components at the undergraduate and graduate levels. The Chair should establish collaborative and interdisciplinary relationships with others Computing School Chairs, with other leaders in the College, as well as all internal and external constituents at Georgia Tech and abroad. They must be able to build successful partnerships with executive leaders at Georgia Tech. External affairs, community engagement, and industry relationships should also be primary goals for the incoming Chair. Finally, the successful candidate must demonstrate a commitment to Georgia Tech Core Values.
Required Qualifications
The ideal candidate will:
- Have a Doctorate in Computer Science, Engineering, or a related field;
- Be a Full Professor with tenure in a premier department at a research university;
- Have a proven record of achieving external visibility and funding;
- Have demonstrated strong leadership and team building skills;
- Care about the personal and educational enrichment of faculty, staff, and students;
- Have experience with strategic planning, administrative oversight;
- Fiscal management, and vision development;
- Embrace participative management and open decision-making.
Apply Before Date
You will need to submit your CV, a letter of application, 5 references, and other supporting documents no later than January 06, 2025, for full consideration. Your application will remain confidential (known only to the search committee) until its final stage, at which point, with your permission, we will contact your references and request letters of support.
Applications should be submitted via the Georgia Tech Careers website, careers/, Job ID: 275176, and your reference letter information should be submitted at Academic Jobs Online, located at: ajo/jobs/29304
Contact Information
Inquiries may be directed to Jilleon Ivey, Director of HR, at . Please be sure to put "Chair - School of Computer Science" in the subject.
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 ( ).
Other Information
Workload allocation is 55% administration, 20% research, 20% teaching, and 5% service.
Background Check
The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.
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.
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:
- Students are our top priority.
- We strive for excellence.
- We thrive on diversity.
- We celebrate collaboration.
- We champion innovation.
- We safeguard freedom of inquiry and expression.
- We nurture the wellbeing of our community.
- We act ethically.
- 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.
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: . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.
Percent time:
15% to 100%
Anticipated start:
Positions usually start in July or August for Fall, January for Spring and June for Summer.
Review timeline:
Applications will be accepted and reviewed for unit needs through November 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close November 2027; applicants wishing to remain in the pool after that time will need to submit a new application.
Application Window
Open date: June 10, 2025
Most recent review date: Tuesday, Jun 24, 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: Wednesday, Nov 25, 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 College of Computing, Data Science, and Society at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach CDSS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.
About CDSS:
Established July 1, 2023, the College of Computing, Data Science, and Society (CDSS) is the first new college at Berkeley in over 50 years. The College was created to meet the demands and opportunities at a time when data touches nearly every aspect of our lives. Innovations in computing and statistics are converging to create unprecedented opportunities to use data science, machine learning, and artificial intelligence to tackle pressing societal challenges from human health to climate change.
CDSS offers outstanding undergraduate major programs in Computer Science, Data Science, and Statistics. Over 1,500 students graduated with a degree in these majors in Spring 2024, and one in four held a second major in another discipline. CDSS undergraduates study with faculty from a wide range of fields, where they gain the knowledge, skills, and experiences needed to succeed in today's datafied world, interact with data ethically, and masterfully engage as informed leaders.
CDSS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Responsibilities:
CDSS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses. We are particularly interested in instructors who can teach courses that satisfy the Human and Social Dynamics of Data and Technology requirement for the college. This requirement is designed for the purpose of developing an understanding of how technology and data interact with human and societal contexts, including ethical considerations and applications such as education, health, law, natural resources, and public policy. Examples include: Anthropology of Science, Data, and Technology; Artificial Humanities: AI, Language, and Fiction; and Data and Justice.
Teaching a CDSS course may include holding office hours, assigning grades, advising students, preparing course materials (e.g.,slides, syllabus, homework assignments), providing clear and prompt feedback on student work, and maintaining the course website.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Division:
Qualifications
Basic qualifications (required at time of application)
Must have an advanced degree or be enrolled in an advanced degree program at the time of application.
Additional qualifications (required at time of start)
Advanced degree. Candidates must already be authorized to work in the United States.
Preferred qualifications
A Ph.D. or equivalent international degree that is cross-disciplinary with data science in either the social sciences, humanities, education, health, law, natural resources, public policy, computer science, statistics, or engineering, is preferred.
Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching - Please discuss prior teaching experience, teaching approach, and 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.
Reference requirements
- 3-4 required (contact information only)
Apply link:
JPF04959
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
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
Salary range:
The posted UC academic salary scales set the minimum pay at appointment. See the following table for the salary scale for this position: . A reasonable estimate for this position is $70,977- $101,198.
Percent time:
Positions may range from 8% to 100% time during the academic year, while summer appointments are handled on a by-agreement basis.
Anticipated start:
Positions usually start at the beginning of the semester (in mid-January for Spring Semester; in mid-August for Fall Semester). Summer appointments begin in late May and run into early August. UC Berkeley's academic calendar can be viewed at calendar.
Review timeline:
Appointments for fall semester are usually reviewed in April and May, and in October and November for spring course needs, and summer course needs in March and April. Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration:
Semesters or Summer Sessions
Please note: These positions are temporary appointments with no guarantee of reappointment at the end of the term. The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Application Window
Open date: October 10, 2025
Most recent review date: Friday, Feb 20, 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, Oct 10, 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 Cognitive Science Program at the University of California, Berkeley invites applicants to enter a pool of qualified temporary instructors to teach Cognitive Science 1 (Introduction to Cognitive Science), upper division courses on Cognitive Psychology, Computational Modeling, Language and Cognition, Cognitive Neuroscience, and cognition-related social sciences, and possibly other undergraduate courses in the Cognitive Science Program should an opening arise.
The position's duties include: undergraduate and graduate teaching. In addition to teaching responsibilities, general duties may include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), writing exams, and managing GSIs.
Qualifications
Basic qualifications (required at time of application)
PhD (or equivalent international degree), or enrolled in PhD or equivalent international degree-granting program at the time of application.
Additional qualifications (required at time of start)
By position start date: A PhD (or equivalent international degree)
Preferred qualifications
A commitment to, and experience with, undergraduate teaching, preferably in the areas of Cognitive Science, Linguistics, Computer Science, Philosophy, Psychology or Neuroscience. Must demonstrate ability to teach effectively in a dynamic learning environment. Must demonstrate experience with, and deep knowledge of, interdisciplinary inquiry and research as connected to the study of the mind.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching
Teaching Evaluations - Please provide teaching evaluations for most recent two semesters of non-Summer, non-Teaching Assistant positions (if available, otherwise include any evaluations).
(Optional)
Reference requirements
- 3-4 required (contact information only)
Apply link:
JPF05171
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
Position title:
Instructor (Non-Senate, Non-Tenure Track)
Salary range:
A reasonable estimate for this position is $2,500 per course.
Percent time:
Part-time by agreement on a course-by-course basis.
Anticipated start:
Appointments are expected to begin in June 2026.
Review timeline:
Screening of applicants begins immediately and will continue as needed.
Position duration:
Program runs Monday, June 22, 2026 through Friday, July 3, 2026.
Application Window
Open date: March 10, 2026
Next review date: Tuesday, Mar 24, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Apr 9, 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
Berkeley Summer Sessions & Study Abroad is a vibrant and dynamic organization that collaborates across faculty, academic units, international partners and campus service providers to enable more than 15,000 current and prospective Berkeley students, visiting students, and high school students to participate in more than 600 summer courses, study abroad experiences, global internships, and other learning opportunities. We are committed to offering quality, innovative learning experiences through open enrollment to a diverse audience of world-wide learners, while supporting the campus missions and commitments to its stakeholders.
Berkeley Summer Sessions & Study Abroad is a part of the division under the leadership of the Dean of Extended Education that also includes University Extension and Osher Lifelong Learning Institute.
Summer Sessions, in partnership with UC Berkeley's Electrical Engineering and Computer Science department (EECS), invites applications for a pool of qualified, dynamic instructors with a commitment to Pre-College education in Computer Science, Programming, and Data Science to teach high school students (grades 10-12) in our Berkeley Summer Computer Science Academy. This intensive, non-credit program is offered in-person over 2 weeks during weekdays (June 22, 2026 - July 3, 2026) on the UC Berkeley campus with some online instructional components, such as an Instructor Orientation and a student pre-arrival Welcome Webinar.
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
Course Subjects
We are seeking qualified applicants who possess current subject matter expertise and teaching proficiency in the SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.
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: Classroom (In-Person).
- For synchronous instruction (classroom), 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 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; reviewing and providing feedback on student work; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines; and responding to other requests from the Program Director or Department Director in a timely manner.
Berkeley Summer Computer Science Academy: summer-computer-science-academy
UC Berkeley's SNAP! Programming Language:
Qualifications
Basic qualifications (required at time of application)
- Bachelor's degree or equivalent international degree (or enrollment in a bachelor's degree or equivalent international degree program) required.
Additional qualifications (required at time of start)
- Bachelor's Degree or equivalent international degree required by the start date of the position.
- Minimum of one year of experience in related content area.
- Availability to teach in-person on the UC Berkeley campus weekdays between June 22, 2026 and July 3, 2026.
Preferred qualifications
- Advanced degree (or enrollment in an advanced degree) in course subjects.
- Subject matter expertise in SNAP! programming language/coding software and in other introductory coding, computer science, data science, and artificial intelligence concepts.
- 1 or more years of teaching experience in the course subject at a United States K-12, college, or university institution.
- Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
- Ability to convey conceptual and complex ideas and information.
- 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.
- Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
- Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Camtasia/Panopto); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
- Familiarity with Title IX, CANRA, CLERY, Family Educational Rights and Privacy Act (FERPA) and related federal and state laws, health & safety regulations, policies and procedures, and risk management guidelines and best practices related to working with minors or demonstrated ability to learn such laws.
Application Requirements
Document requirements
Curriculum Vitae/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)
Apply link:
JPF05281
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 (U.S.A.)
*Must be US Citizen or Green Card Holder
We are seeking an experienced Data Science Manager to lead a high-impact team focused on developing and deploying machine learning solutions within a large-scale healthcare technology environment.
This role combines technical leadership, hands-on data science expertise, and strategic collaboration to drive innovation across analytics and AI initiatives. The ideal candidate will be a player-coach, capable of leading a team while remaining engaged in solution design and development.
Key Responsibilities
- Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing environment
- Oversee the full data science lifecycle, including problem definition, data exploration, model development, validation, and production deployment
- Design and guide the development of machine learning and statistical models that drive business value
- Translate complex business requirements into scalable, data-driven solutions
- Partner closely with Product, Engineering, and business stakeholders to align on priorities and deliver impactful outcomes
- Establish and promote best practices in data science, machine learning, and model lifecycle management
- Communicate technical concepts and insights effectively to non-technical audiences
- Contribute to strategic planning and roadmap development for data and AI initiatives
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
- 8+ years of experience in data science, analytics, or machine learning development
- 5+ years of experience managing or leading data science or analytics teams
- Strong hands-on experience building and deploying production-grade machine learning models
- Experience working within Agile or modern software development environments
- Deep understanding of machine learning methodologies, statistical modeling, and data architecture
- Proven ability to collaborate cross-functionally and influence stakeholders
- Experience working with healthcare data or healthcare technology platforms
- Experience building or scaling a data science or AI team
- Advanced degree (Master's or PhD) in a related field
- Experience driving AI/ML initiatives that support decision-making or recommendation systems
- This is a remote position (US-based candidates only)
JobiqoTJN. Keywords: Marketing Science Director, Location: New York, NY - 10060
As a professional in the environmental science or environmental engineer field, a career as an Army Environmental Science / Engineering Officer might be one for you.
Outstanding Benefits and Opportunities
As an Environmental Science / Engineering Officer for the U.S. Army, you will identify and evaluate potential health risks and develop a course of action to control or prevent disease, illness, and injury. You may supervise the scientific research for environmental health and industrial hygiene, assess weapons, equipment, clothing, and material systems, and develop policies, programs, and operations to ensure the health and safety of Soldiers and staff. You will attend trainings, continued education programs, seminars, and conferences to broaden your knowledge base, collaborate with other top professionals and interact with the newest technologies in the field.
If you choose to join the Army Reserve, you will be able to serve your country as needed while still supporting your community.
Regardless of how you choose to serve, a career as an Army Environmental Science / Engineering Officer allows you to be all you can be.
Outstanding Benefits and Opportunities
When you join the Army Medical Service Corps, you’ll be making a difference in the lives of our Soldiers and the country at large while gaining access to invaluable opportunities, like supporting humanitarian missions, being part of a dedicated healthcare team, and leadership training, all while earning a competitive benefits package.
Benefits may include:
- Repayment of qualified education loans to lending institution, paid annually over a maximum of 3 years while serving
- Based on your field of concentration, you may be eligible for an accession bonus
- Travel opportunities within the United States and abroad
- Up to 30 days of paid vacation earned annually
- Enrollment into the Uniformed Services Blended Retirement System
- No- to low-cost medical and dental care for you and your family
- Commissary and post exchange shopping privileges
- Specialized training to become a leader in medicine
Eligibility Requirements
- Must have a bachelor’s degree from an educational program accredited by the Council on Education for Public Health with a major in a public-health-relevant field or a bachelor’s degree from a program accredited by the Accreditation Board for Engineering and Technology with a major in an environmental engineering-relevant field
- Must be a U.S. citizen to serve Active Duty
- Must have a permanent U.S. residency for Army Reserve
Have questions or want more information?
To find out more information about becoming an Environmental Science / Engineering Officer in the U.S. Army, visit You may also contact your local Army Healthcare Recruiter to learn how you can get started on your journey as an Army Environmental Science / Engineering Officer.
