Forward Science Technologies Jobs in Usa

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 Scheller College of Business

The Scheller College of Business' Full-time MBA Program is ranked #9 among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region.

The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to two years, depending on satisfactory performance. The postdoc can begin as soon as January 2026 or as late as August 2026 we are happy to accommodate the timeline that works best for the selected candidate.

The role involves close collaboration with the ITM area faculty on mutually selected research projects. Two preferred areas of focus for our group are:

Studying the application of LLMs in online multisided platforms, such as the design and optimization of LLM-powered advertising mechanisms, and strategic interaction between platform participants. We are particularly interested in how LLMs influence user engagement, attention allocation, and economic outcomes on digital platforms, including auction-based advertising markets and dynamic information environments.

Developing economic frameworks for data valuation and privacy in business applications, including topics such as federated learning, copyright-preserving generative models, data marketplace pricing, and incentive-compatible privacy mechanisms. This line of research aims to connect information economics, machine learning algorithms, and market design, to address practical concerns in decentralized data governance, trustworthy machine learning, and platform strategy.

Responsibilities for this position include :

• Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.
• Teach one 3-credit course each year.
• Perform related services based on the needs of the ITM area

• A Ph.D. or equivalent degree in information systems, economics, management science, computer science, statistics, operations, or other related quantitative and/or social science domains
• The degree must completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2026 for an August 1, 2026 start date.
• Strong analytical, quantitative, and communication skills.

• Knowledge in machine learning, generative models and LLM.
• Knowledge in data privacy technologies, including but not limited to federated learning, differential privacy, copyright preserving technologies in generative models.
• Knowledge in microeconomic theory, including but not limited to mechanism design, auction theory, game theory
• Prior teaching experience

Applicants should submit:

• A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience)
• Your CV
• Names and contact information of three references as a single pdf file, and
• One published or working paper.

Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than 2

The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified.

Questions can be sent to addressing Professor Mingxi Zhu or Professor Lizhen Xu

We welcome candidates with strong skills in areas including, but not limited to, analytical modeling; economic theory (such as game theory, mechanism design, and information design); and machine learning (including algorithm design, analysis, and generative models such as large language models). While a background in information systems is preferred, we also encourage applicants from related fields such as economics, computer science, operations research, and statistics. We are particularly interested in scholars who can integrate economic theory with computational approaches to address key challenges at the intersection of artificial intelligence, digital markets, and information technologies.

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.

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.

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.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Applicants with the need for an accommodation: Georgia Tech is committed to ensuring that its online applicant process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation due to a disability to search for a job opening or submit an application, please call us at .

This line is designed to assist disabled job seekers whose disability prevents them from being able to apply online. Please do not use this number for non-disability-related inquiries. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

Please note: Messages left for other purposes, such as following up on an application or non-disability-related technical issues, will not receive a response. Please review our FAQs for assistance with common questions.

Bring your ideas to life in homes around the world.

At Electrolux Group, a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living.

Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute and grow together.

Join us in our exciting quest to build the future home!

About the role:

As a Senior Lab Technologist in Cooking Science, you will play a key role in developing appliances that meet the evolving food expectations of our consumers. You’ll translate consumer insights into technical solutions, validate performance, and contribute to innovation research and intellectual property development.

Working within the Cooking Science team, you’ll lead testing activities, collaborate with cross-functional stakeholders, and help shape the future of cooking functionality through rigorous analysis and continuous improvement.

What you’ll do:

As a Senior Lab Technologist, you will be responsible for testing and validating cooking performance in our appliances, ensuring compliance with technical standards and consumer expectations. If you’re passionate about food technology and innovation, this is your opportunity to make a meaningful impact.

In detail, you will:

• Create and execute standard test plans for cooking performance
• Organize and deliver testing activities, managing your own and others’ work
• Document and analyze test data, creating reports for key stakeholders
• Operate and maintain laboratory equipment, including calibration
• Contribute to cooking function development through testing and adjustment
• Train colleagues based on your area of expertise
• Lead and support innovation research and advanced science initiatives
• Assess intellectual property scenarios and contribute to protection strategies
• Participate in regulatory and standardization activities
• Drive continuous improvement and build internal/external networks
• Provide regular progress updates to the Cooking Science Manager

Who you are:

• Master’s or Bachelor’s degree in Food Technology, Engineering, Chemistry, or a related technical field.
• 3–5 years of specialist experience, with deep knowledge of food standards, cooking processes, and lab testing.
• Proficiency in office and function-specific IT tools, with Six Sigma or Kaizen experience considered a plus.
• Strong communication skills—comfortable presenting, writing technical reports, and leading meetings or demonstrations.
• Customer-centric, analytical, and collaborative, with a knack for problem-solving and cross-functional teamwork.

Where you’ll be:

You will be based 100% onsite in one of our Cooking Science laboratories in Springfield, TN, working closely with global teams and stakeholders. Occasional travel may be required to support testing, innovation events, and cross-regional collaboration.

Benefits include:

• Discounts on award-winning Electrolux products and services
• Family-friendly benefits including extended paternity leave
• Comprehensive insurance plans
• Extensive learning opportunities and a flexible career path

As part of Electrolux Group, we will continuously invest in you and your development. There are no barriers to where your career could take you.

Please be advised that we are unable to offer visa sponsorship for this position at this time.

Find more on:

Electrolux North America:

Electrolux Home Products, Inc. is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

Open date: February 25, 2026

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

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

Final date: Friday, Mar 27, 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.

The Department of Molecular and Cellular Biology at the University of California, Berkeley seeks applications for up to three Junior/Assistant/Associate/Full Specialist positions in the Upadhyayula Lab, in the area of Biological Science .

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. You will have access to leading - edge imaging and computing hardware, as well as exposure to the Bay Area's brightest minds from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

The positions involve close collaboration on a number of new and ongoing empirical projects in the fields of microscopy and data analysis. The incumbent will work on tera-to-petabyte scale research data and will have the opportunity to gain exposure to and training with a broad set of research topics and methodologies. The roles exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.

The duties of the positions include:

* Operate and maintain the next generation multi-functional adaptive optical microscope(s) and other pre-commercial optical microscopes.

* Develop new imaging and data processing tools

* Assist with data acquisition using advance pre-commercial microscopy systems to image biological samples ranging from cells in culture, such as bacteria, mammalian cells, and organoids to intact organisms, such as zebrafish or mice, etc.

* Be involved in the applications of these tools for biological imaging; collaborate with Postdocs and graduate students on specific projects to test, learn and implement for general and specific use cases.

* Be an integral part of the expert team working together with computational scientists and biologists in experimental design to tackle complex biological questions in a quantitative manner.

* Train and assist students and researchers in the use of software applications

* Train and assist users with their imaging or data processing tasks.

* May supervise undergraduate students.

* General organization and management of software documentation.

Lab:

Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

Bachelor's degree (or equivalent international degree) or enrollment in a Bachelor's (or equivalent international degree) program.

Bachelor's degree (or equivalent international degree)

Degree field of molecular & cell biology, computational biology, computer science, math, physics or related field.

Research experience in computational biology, computer science, math, physics or related field.

Experience with programming (C++, Labview, MATLAB, python).

Experience with design, documentation, testing and implementation of high performance software for image processing.

Experience with CI/CD for software deployment.

Experience developing software for tera-to petabyte scale imaging applications.

Ability to work on a number of projects simultaneously.

Organized and attentive to detail.

Strong written and oral communication skills.

Interest in learning new techniques.

Upper division course in genetics is strongly preferred.

Coursework in molecular biology and biochemistry.

Proficiency in bioinformatics.

Computational analysis of datasets.

Basic molecular biology techniques.

Ability to design and interpret experiments.

Ability to prepare figures for manuscripts.

Demonstrated proficiency to work as part of a research team.

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

  
  

• Cover Letter

  
  

• Statement of Research (Optional)

  
  

• 3 required (contact information only)

Help contact:

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
  

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.

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:

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

-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.

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

  
  

• Cover Letter

  
  

• 3 required (contact information only)

Help contact:

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
  

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.

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.

PhD (or equivalent international degree), or enrolled in PhD or equivalent international degree-granting program at the time of application.

By position start date: A PhD (or equivalent international degree)

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.

• 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)

  
  

• 3-4 required (contact information only)

Help contact:

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
  

Senior Government Affairs Technology & Competition

A bipartisan government relations and communications firm providing strategic advice to companies, trade associations, nonprofits, and individuals seeks a senior lobbyist to join its growing technology and competition practice. This role focuses on advocacy before congressional Republicans and a Republican administration, with an emphasis on technology, telecommunications, broadband, and competition policy.

What You Will Do

• Develop and execute federal advocacy strategies for Fortune 500 companies, trade associations, startups, and other clients on technology and competition issues
• Represent clients before Republican members of Congress and their staffs, the Executive Branch, federal regulatory agencies, industry coalitions, and other policy forums
• Lead client advocacy on technology policy, including telecommunications, cybersecurity, artificial intelligence, privacy, broadband, media, FCC oversight, and platform competition
• Engage with the House Energy and Commerce Committee and the Senate Commerce, Science, and Transportation Committee, particularly their Communications and Technology and Communications, Media, and Broadband subcommittees, which oversee FCC authorization and oversight, broadband deployment and access, spectrum policy, and wireless, wireline, satellite, cable, and media issues
• Navigate competition and antitrust considerations affecting technology and telecom companies, including engagement with the House and Senate Judiciary Committees as appropriate
• Maintain active relationships with the Executive Office of the President, the Office of Science and Technology Policy, the Department of Commerce (including NTIA and NIST), and the Federal Communications Commission
• Craft and execute strategic client engagement plans aligned with Republican policy priorities and messaging
• Research, draft, and deliver policy updates, issue papers, one-pagers, and other advocacy materials for clients and policymakers
• Spot emerging legislative and regulatory developments and provide timely, actionable guidance to clients
• Contribute to business development efforts and help expand the firm’s technology and competition practice

What You Bring

• Ten or more years of experience on Capitol Hill and/or in government affairs roles, with a strong background working with Republican members, committee staff, or administrations
• Demonstrated expertise in issues under the jurisdiction of the House Energy and Commerce Committee and the Senate Commerce, Science, and Transportation Committee; experience with Judiciary Committee work on competition and antitrust is a plus
• Well-established network of relationships with congressional Republicans and senior committee staff, Executive Branch officials within the Executive Office of the President, the Office of Science and Technology Policy, and the Department of Commerce, and federal regulators including the Federal Communications Commission
• Expert knowledge of the federal legislative and regulatory processes, particularly as they relate to technology, telecommunications, and broadband
• Ability to translate complex client priorities into effective advocacy strategies for Republican policymakers
• Highly organized, with the ability to manage multiple clients and competing deadlines in a fast-paced environment
• Excellent written and verbal communication skills and comfort operating at both senior and junior levels

Benefits & Growth

• Unlimited vacation
• Generous health care and retirement benefits
• Clear advancement opportunities

We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Job Description

8901 - Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238

CarMax, the way your career should be!

About the Team

The primary responsibility of the Logistics Modeling team is to intelligently and efficiently plan how CarMax moves vehicles across its nationwide network. Each year, CarMax completes over 2 million vehicle moves, and our data scientists develop algorithms that determine which moves are executed by CarMax and which are handled by third-party logistics partners. For the moves CarMax completes, the team generates detailed plans specifying exactly which vehicles each driver will transport and when. To be successful, these plans must optimize efficiency while ensuring vehicles arrive on time to meet customer and operational needs.

What You Will Do – Essential Responsibilities

Develop optimal planning strategies that meet both short and long term business objectives

• Leverage exceptional business knowledge, creativity, vision and analytic skills in order to lead the development of optimal logistics planning strategies
• Develop right optimization strategy given CarMax’s unique business model
• Leverage strong analytic communication skills to gain broad buy-in to planning strategies and goals at all levels of the organization
• Continuously improve our logistics strategy by delivering $10-25MM/yr of incremental value

Build a highly engaged team of 4-7 Data Scientists with the skills to implement our logistics strategies across millions of moves each year

• Create a rewarding and challenging environment designed to teach uniquely gifted analytic professionals how to become effective, value adding data scientists
• Leverage strong functional expertise in a quickly evolving field to ensure that team members have the right technology to meet today’s business needs.
• Set specific, actionable short and mid-term goals for each team member
• Challenge, develop & recognize team members when they achieve their goals

Lead the building of Artificial Intelligence to autonomously plan every move in an optimal way

• Leverage strong mathematics, statistics and technology skills (machine learning, Python, etc.) in order to lead the development of sophisticated planning models that autonomously implement our strategies
• Leverage strong computer science and software engineering skills in order to build software that (a) Calculates the optimal logistics plan for each move and (b) Delivers that plan to the logistics team in seconds
• Lead cross functional efforts to implement new models with IT and the field
• Apply exceptional experiment test and design skills in order to measure the business impact of different planning changes

Purpose of the Role

CarMax relies on algorithms to efficiently move vehicles across our network of 200+ stores, ensuring optimal routes, driver utilization, and on-time delivery while minimizing transportation costs. Doing so ensures that we have the right cars at the right prices at the right time and place to meet our customers’ needs. As we continue to innovate our business and shift more of our buying and selling online, we increasingly need to make these decisions quickly with less human intervention. Our team of data scientists plays a critical role in unlocking the business value from these innovations.

Qualifications and Requirements:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

• Undergraduate degree with exceptional academic performance in quantitative discipline (Statistics, Math, Data Science, Computer Science, Engineering). Advanced Degree (Master’s/Ph.D.) is a plus.
• Mathematical, modeling, and reasoning skills in order to build complex planning models
• 4+ years’ experience in strategy, analytics and/or data science
• Proven ability to deliver business value by leveraging deep analytic skills in order to solve complex business problems
• Computer programming skills in order to turn the mathematical model into Artificial Intelligence
• Leadership skills necessary to build a highly engaged team and to work cross functionally to implement new logistics models and strategies
• Exceptional verbal, written, and listening skills necessary to (a) effectively manage their team, (b) listen and understand conflicting points of view on complex matters, (c) navigate through potential contentious situations that periodically occur in a change process, and (d) communicate complex ideas.
• Experience managing highly analytical projects and people.

Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 5 days per week

Work Authorization: Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

About CarMax

CarMax disrupted the auto industry by delivering the honest, transparent and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 200 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Our Commitment to Diversity and Inclusion:

CarMax is committed to bringing together people from different backgrounds and perspectives, providing employees with a safe, welcoming, and inclusive work environment.

CarMax is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, gender expression, genetic information, national origin, protected veteran status, disability status, and any other characteristics protected by law.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

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.

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:

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

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.

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

• 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.

  
  

• 3 required (contact information only)

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

Help contact:

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
  

Open date: June 10, 2025

Most recent review date: Sunday, Feb 15, 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: Monday, Feb 1, 2027 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.

The Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure-track positions - selected candidates will hold the title of Lecturer. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the department. Due to budget restrictions, no funding is available for visa or relocation expenses.

In addition to lecturing responsibilities, general duties for these positions include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), and maintaining a course website.

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy in higher education through their teaching. 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, if applicable.

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 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.

Labor Contract:

Department:

Division:

School:

The minimum qualification required to be considered an applicant for the position is a Bachelor's degree (or equivalent international degree). Must be met by the time of application.

The following additional qualifications are required by the start date of the job. Advanced degree or four years teaching and/or industry experience.

Experience in teaching courses in Electrical Engineering or Computer Science, particularly courses with 200+ students. Experience managing large course staff.

Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

• Cover Letter (Optional)

  
  

• Curriculum Vitae - Your current and updated C.V.

  
  

• Statement of Teaching - Please discuss prior teaching experience, qualifications (including teaching evaluations, if available), 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.

  
  
  

  The teaching statement must include information on the course(s) the applicant is qualified to teach (after reviewing our list of courses: academics/courses).

  
  
  

  Courses of particular interest in the Computer Science division include CS 10, CS 61A, CS 61B, CS 70, CS 88, CS C8, CS C100, CS 160, CS 169, CS 170, CS W186, CS 188, CS 189, CS 194-100*, CS 195, CS 370, and CS 375. *Note: Candidates qualified to teach CS 194-100 possess teaching experience and a background covering the intersection of social justice and technology.

  
  
  

  Courses of particular interest in the Electrical Engineering division include EE 16A , EE 16B, EE 192, and EE 247B.

  
  

• 3 required (contact information only)

References will only be contacted at the finalist stage. We will seek candidate permission before contacting references.

Help contact:

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