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Associate or Full Professor of Computer Science Apply
D-25-COS-00002 | Computer Science | Faculty | Last Updated 08/06/2024 | Posting Expires 05/31/2025 11:59 PM, EDT
The Department of Computer Science at Princeton University invites applications at the Associate and Full Professor level. We are accepting applications in all areas of Computer Science. Applicants must demonstrate superior research and scholarship as well as an excellent teaching record. The department is committed to fostering a diverse and inclusive academic community with a culturally diverse faculty. We are particularly interested in receiving applications from members of groups that have been historically underrepresented in Computer Science. A PhD in Computer Science or a related area is required. Successful candidates are expected to pursue an active research program and to contribute significantly to the teaching programs of the department. Applicants should include a CV, research statement, teaching statement, and contact information for four people (no more than 5) who can comment on the applicant's professional qualifications. We seek faculty members who will create a climate that embraces excellence and diversity, with a commitment to teaching and mentoring that will enhance the work of the department and attract and retain a diverse student body. Candidates progressing in the selection process will be asked to provide a link to a short video presentation of a research talk. For full consideration we recommend that applicants apply by December 1, 2024, though we will continue to review applications past that date. This position is subject to the University's background check policy.
***REVISED*** Associate Research Scholar - Center for Biological FunctionApply
D-24-PHY-00015 | Physics | Research | Last Updated 05/10/2024 | Posting Expires 05/08/2025 11:59 PM, EDT
Fellows: Center for the Physics of Biological Function

The Center for the Physics of Biological Function (CPBF), a joint effort between Princeton University and The Graduate Center of the City University of New York, is searching for Center Fellows, both theorists and experimentalists. Fellows will join our highly interactive group, with interests ranging from the dynamics of single molecules to neural computation, and from biochemical and genetic networks to collective behavior and evolution in populations. These diverse efforts are unified by the search for common physical principles underlying the emergence of functional behaviors that are essential for life.

Fellows should be prepared to take advantage of the full collaborative research and mentoring opportunities at the Center, and must have completed their PhDs in a relevant field before starting the position. Appointment will be at Associate Research Scholar rank, for a term of three years; salary will be determined based on experience and qualifications. Appointments will be through the Department of Physics. We expect new Fellows to join us for the Fall semester of 2025; start dates as early as February 2025 are possible. 

For fullest consideration, all application materials should be received by October 15, 2024, 11:59 pm eastern standard time. Please upload a CV and a cover letter. Please attach your publication list to your CV, including arXiv and bioRxiv preprints as relevant.  The cover letter should include a short description of your research accomplishments thus far, with references to your publication list as appropriate. While we do not ask for a full research proposal, please include a few paragraphs about directions that you hope to pursue, and how these might fit into our community. Also, while the Fellow position does not require teaching, you may describe aspects of your experience with teaching and mentoring that were especially meaningful for you.

Candidates selected for interviews will participate in one of two symposia, planned for November 12-13 and December 3-4, 2024. Applicants are asked to reserve these dates.

The primary work location for this position is in-person on campus at Princeton University.

Princeton University and The City University of New York are Equal Opportunity/Affirmative Action Employers, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. To apply online, please visit https://puwebp.princeton.edu/AcadHire/position/34641 and submit a cover letter, CV with publication list, and contact information for three references. This position is subject to the University's background check policy.
***REVISED*** LecturerApply
D-24-ANT-00002 | Anthropology | Faculty | Last Updated 11/13/2023
The Department of Anthropology at Princeton University invites applications for a one semester Lecturer position for Spring 2024. Responsibilities will include teaching one course in Legal Anthropology and one course in the candidate's area of expertise. The Lecturer will also be involved in mentoring and working with undergraduate students. Applicants should have a PhD in Anthropology or related fields and documented teaching experience. Princeton is especially interested in receiving applications from individuals who, through their research, teaching, and service, will contribute to the diversity of the curriculum, broadly defined. Interested applicants should apply online at: https://puwebp.princeton.edu/AcadHire/position/32282.  Applicants must submit a cover letter, a curriculum vitae, a one-page teaching statement, a sample syllabus, and contact information for two references. For fullest consideration, interested applicants should apply by Friday, November 20, 2023. Due to the volume of applications, only candidates selected for an interview will be contacted. No letters of recommendation are required at this time. This position is subject to the University's background check policy.
***REVISED*** Lecturer - PNIApply
D-25-PNI-00003 | Princeton Neuroscience Institute | Faculty | Last Updated 11/19/2024 | Posting Expires 01/16/2025 11:59 PM, EST
The Princeton Neuroscience Institute (PNI) has an occasional need for lecturers to act as lead instructors, and/or teach precepts in support of two large introductory neuroscience courses that are required for the major. In addition, the successful candidate may have the ability to teach an upper-level neuroscience elective and teach precepts in other departments, as needed. Appointment duty time is subject to enrollments, and Spring 2025 positions are expected to begin January 16, 2025. Responsibilities include organizing and guiding teaching assistants, mentoring students, grading student work, and holding office hours. 

Essential Qualifications:
PhD in Neuroscience or related field. 

Preferred Qualifications
Experience teaching at the undergraduate level is strongly preferred.

Interested applicants should submit a cover letter, curriculum vitae, teaching statement and contact information for three referees online at: https://puwebp.princeton.edu/AcadHire/position/36821.  This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University.
***REVISED*** Professional Specialist Apply
D-24-EEB-00009 | Ecology and Evolutionary Biology | Specialist | Last Updated 03/05/2024 | Posting Expires 02/23/2025 11:59 PM, EST
Bioinformatics Scientist Position in Metagenomics and Evolutionary Genomics

The Bioinformatics Scientist in the Moeller Lab at Princeton University will lead and support projects that employ metagenomics and genomics methods to study the ecology and evolution of microbiomes. The Moeller Lab studies the evolution of relationships between animals and microorganisms, with current work focusing on vertebrates' co-evolutionary histories with bacteria through a combination of -omics approaches, gnotobiotic and microbiology experiments, and natural history. Our group supports researchers with diverse interests in microbiology, ecology, and evolution studying a range of systems, including primates, rodents, lizards, frogs and toads, and birds. We are hoping to attract self-motivated and talented researchers who work well in a team environment.

The successful candidate will work closely with the lab's graduate students and postdocs to develop reproducible bioinformatics workflows for addressing fundamental questions about the ecology and evolution of microbial species within the gut microbiomes of vertebrates. The successful candidate will also have opportunities to develop independent projects in our group.

Applicants should have a Ph.D. or similar levels of experience in one or more of these disciplines. Experience handling and analyzing metagenomic and genomic datasets (such as those generating by high-throughput sequencing) as well as experience with scripting in bash, python, and/or R is desired. A background in statistics and/or population genetics is also desired. 

The start date for this position is flexible. Salary is competitive and commensurate with experience, and benefits are included. The initial appointment is for one year at the rank of Professional Specialist, with the possibility of renewal. Applications will be accepted until the position is filled. This position is subject to Princeton University's background- check policy.

Applications must be submitted on-line at https://puwebp.princeton.edu/AcadHire/position/33742 and include a cover letter summarizing your research interests and experience, your current CV, and contact information for three references. Informal inquiries are also welcomed.

The work location for this position is in-person on campus at Princeton University.

Princeton University is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
*REVISED*Professional Specialist/Research Director for Center for the Study of Democratic PoliticsApply
D-24-SPI-00033 | Princeton School of Public and International Affairs | Specialist | Last Updated 03/20/2024 | Posting Expires 03/17/2025 11:59 PM, EDT
The Center for the Study of Democratic Politics serves as Princeton's primary center for studying democratic political processes, behavior, and institutions. The Center brings together a large, vibrant and interdisciplinary community of scholars interested in democratic politics, supports their empirical research, and communicates those findings to inform public policy debates inside and outside the academy.

In concert with the faculty Director(s), the RD helps develop and implements CSDP's academic and policy research programs. They work with CSDP affiliates, including affiliated faculty, researchers (fellows, scholars, and so on), and students. They keep up with and bring to bear research resources and knowledge from across and outside Princeton university.

The RD will help CSDP implement SPIA's strategic priorities, especially data science and policy relevance. The RD will proactively maintain an excellent political science research profile. This includes attending and presenting research at academic conferences, seeking and obtaining ongoing opportunities for one's own professional and technical development as a researcher, and publishing with CSDP affiliates in academic and policy outlets under the direction of the CSDP director(s), all in the service of CSDP's research program. The RD will have some time for their own research as well. 

Areas of responsibility include:
* Design and deliver hands-on workshops on research methods, tools, and applications, including the collection or use of datasets, according to affiliates' needs
* Research and statistical consulting to CSDP affiliates
* Make recommendations for and oversee the selection and implementation of research-relevant software, and monitor its ability to meet the evolving needs of CSDP affiliates
*Oversee a new MPA fellows' program and supervise its fellows including their research activities and their policy-oriented writing

Essential requirements:
-PhD in political science completed by the start date of the appointment  
-Training in and experience using political science research methods including a strong quantitative background 
-Strong programming skills, including in R
-Experience with the academic publishing process 
--Experience teaching research methods, data science, or related programming skills, or advising student activities in these areas 
-Excellent writing and oral communication skills
-Meticulous attention to detail and ability to proof one's own work and others'
-Experience with managing research projects from initiation through completion
-Eagerness to collaborate on projects and to cooperate with others in the work environment
-Ability to clearly communicate with both scholarly and general audiences 

Preferred:
- Prior experience in academic setting
-Experience with data use agreements and how to develop partnerships and collaborations to obtain data
-working with large or administrative datasets 
-Specialized technical skills for the social sciences

The position is for a three-year term, with the possibility of renewal, contingent on satisfactory performance. Rank and salary will be determined on the basis of experience and accomplishments. 

This position is subject to Princeton University's background- check policy.

Applicants must submit a CV, a cover letter describing their areas of expertise and research interests, and contact information for one reference. References may be contacted for the candidates who make the shortlist for this position. The submission must be online via AHIRE link.: https://puwebp.princeton.edu/AcadHire/position/34141

The work location for this position is in-person on campus at Princeton University.
AI Policy FellowApply
D-25-LAI-00004 | Princeton Laboratory for Artificial Intelligence | Specialist | Posting Expires 06/30/2025 11:59 PM, EDT
Princeton Laboratory for Artificial Intelligence seeks AI Policy Fellows to work with federal government AI policy initiatives. Federal agencies tasked with extensive responsibilities in the 2023 Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence would benefit from additional support to advance the responsible development and utilization of AI.  Fellows will help to:

1. Build internal capacity in federal agencies to advance AI policy.
2. Increase public interest technology experts in government.
3. Provide civil society technical experts with agency experience.
4. Address AI risks and harms to promote an equitable future.

Responsibilities: 
Work with federal agency leadership for one year, starting between October 2024 and December 2025, pending a federal background check. Potential placements include the Departments of Commerce, Energy, Homeland Security, Justice, and State, and other executive branch offices developing AI policy such as OSTP and USAISI. Tasks may include:
*Researching risk management, safety, and auditing.
*Preparing AI opportunity/risk/threat assessments with government experts.
*Supporting AI/ML evaluations.
*Communicating technical AI knowledge to develop best practices.
*Advising agency leadership on AI policy.
*Explaining AI concepts to diverse audiences.
*Building coalitions for responsible AI implementation.

AI Policy Fellows will give a seminar at Princeton during their term, contribute to the intellectual life of the university and the AI Lab, and bring relevant insights from the academic community to their agency work.

Eligibility: 
While successful candidates may not meet all of these requirements, below is what we're looking for:
*Seven or more years of work experience or postgraduate study in artificial intelligence and machine learning, computer science or engineering, AI product policy, or other relevant technology fields.
*Tech savvy or socio-technical expertise, with experience working in or studying in the technology industry or the public interest technology sector.
*Advanced technical ability and training. 
*Great interpersonal and communication skills.
*Ability to work with cross-sector stakeholders from industry, academia, civil society, government, among others.
*Ability to work in a fast-paced, collaborative environment.
*Flexibility and comfort with ambiguity in a rapidly evolving issue space.
Appointment will require an advanced or professional degree.

Location: Remote with travel to Washington, DC and Princeton. 

AI Policy Fellows will be appointed for one year as Professional Specialists, with possible extensions, through the Princeton Laboratory for Artificial Intelligence and will receive a competitive salary and benefits. Candidates should apply by the start-of-review date, October 24, 2024, to guarantee consideration.  
Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/36663 and submit a current CV, research statement, and cover letter, as well as contact information for three references.

To learn about AI at Princeton, please visit https://ai.princeton.edu. Princeton University is committed to fostering a diverse and inclusive academic community. We strongly encourage applications from members of groups that have been historically underrepresented in their chosen field. If you have any questions about this position or the application process, please contact us at ailab@princeton.edu. All offers and appointments are subject to review and approval by the Dean of the Faculty. These positions are subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
AI Postdoctoral Research Fellow - AI for Accelerating InventionApply
D-25-LAI-00002 | Princeton Laboratory for Artificial Intelligence | Research | Last Updated 01/09/2025 | Posting Expires 06/30/2025 11:59 PM, EDT
Princeton University is seeking to hire AI Postdoctoral Research Fellows to join the AI for Accelerating Invention (AI^2) research initiative associated with the recently-launched Princeton AI Lab. AI^2. AI Postdoctoral Research Fellows will be a core part of the  AI^2 community which seeks to use AI in new interdisciplinary ways and to fundamentally change the process of invention from design, to simulation, to fabrication, to control.  Researchers in AI^2 tackle major challenges in science and engineering, such as containing plasma in fusion reactors, revolutionizing material design and structure, novel electronics and bioengineering applications. AI Postdoctoral Research Fellows will have access to the AI Lab GPU cluster (300 H100s). Candidates should have recently received or are about to receive a Ph.D. or doctorate degree and have a strong interest and track record in designing, understanding, or engineering of AI models, or their applications in science and engineering. AI Postdoctoral Research Fellows will be appointed through the Princeton Laboratory for Artificial Intelligence (the AI Lab) and will receive a competitive salary, benefits, office and equipment, compute resources, and yearly research support. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Candidates are encouraged to apply by the start-of-review date, December 31, 2024 to guarantee consideration, but some applications may be screened and processed before or after that at our discretion.  

Postdoctoral requirements:
- Princeton University places high value on in-person collaborations and interactions, and we expect selected candidates to participate in-person.
- Ph.D. is expected.
- The work location for this position is in-person on campus at Princeton University.

Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/36507 and submit a current curriculum vitae, research statement, and a cover letter. Contact information for three references is required.

To learn more about AI at Princeton, please visit https://ai.princeton.edu. Princeton University is committed to fostering a diverse and inclusive academic community. We strongly encourage applications from members of groups that have been historically underrepresented in their chosen field. If you have any questions about this position or the application process, please feel free to contact us at ailab@princeton.edu. All offers and appointments are subject to review and approval by the Dean of the Faculty. These positions are subject to the University's background check policy.

Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
AI Postdoctoral Research Fellow - Natural and Artificial MindsApply
D-25-LAI-00001 | Princeton Laboratory for Artificial Intelligence | Research | Last Updated 01/09/2025 | Posting Expires 06/30/2025 11:59 PM, EDT
Princeton University is seeking to hire AI Postdoctoral Research Fellows to join the Natural and Artificial Minds (NAM) AI Lab research initiative. NAM Fellows will take advantage of advances in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. AI Postdoctoral Research Fellows will have access to the AI Lab GPU cluster (300 H100s). Candidates should have recently received or be about to receive a Ph.D. or doctorate degree in cognitive science, psychology, computer science, philosophy, or a related discipline, and have a strong interest and track record in designing, understanding, or engineering of AI models or methods and their applications in cognitive science. 

AI Postdoctoral Research Fellows joining the NAM initiative will contribute to one or both current core projects, "Explanation and Intelligibility" or "Developing and Testing AI Models of Human Cognitive Function." Candidates can read more about these core projects at https://ai.princeton.edu/nam#core.

AI Postdoctoral Research Fellows will be appointed through the Princeton Laboratory for Artificial Intelligence (the AI Lab) and will receive a competitive salary, benefits, office and equipment, compute resources, and yearly research support. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Candidates are encouraged to apply by the start-of-review date, December 31, 2024 to guarantee consideration, but some applications may be screened and processed before or after that at our discretion.  

Postdoctoral requirements:
Princeton University places high value on in-person collaborations and interactions, and we expect selected candidates to participate in-person.
Ph.D. is expected.
The work location for this position is in-person on campus at Princeton University.

Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/36506 and submit a current curriculum vitae, research statement, and a cover letter. Contact information for three references is required.
To learn more about AI at Princeton, please visit https://ai.princeton.edu. Princeton University is committed to fostering a diverse and inclusive academic community. We strongly encourage applications from members of groups that have been historically underrepresented in their chosen field. If you have any questions about this position or the application process, please feel free to contact us at ailab@princeton.edu. All offers and appointments are subject to review and approval by the Dean of the Faculty. These positions are subject to the University's background check policy.

Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
AI Postdoctoral Research Fellows - Princeton Language and Intelligence Apply
D-25-LAI-00003 | Princeton Laboratory for Artificial Intelligence | Research | Last Updated 01/09/2025 | Posting Expires 06/30/2025 11:59 PM, EDT
Princeton University is seeking to hire AI Postdoctoral Research Fellows to join the Princeton Language and Intelligence (PLI) AI Lab research initiative. AI Postdoctoral Research Fellows will be part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness, and alignment.

AI Postdoctoral Research Fellows will be appointed through the Princeton Laboratory for Artificial Intelligence (the AI Lab) and will receive a competitive salary, benefits, office and equipment, compute resources, and yearly research support. Appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Candidates are encouraged to apply by the start-of-review date, December 31, 2024 to guarantee consideration, but some applications may be screened and processed before or after that at our discretion.  

Postdoctoral requirements:
Princeton University places high value on in-person collaborations and interactions, and we expect selected candidates to participate in-person.
Ph.D. is expected.
The work location for this position is in-person on campus at Princeton University.

Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/36508 and submit a current curriculum vitae, research statement, and a cover letter. Contact information for three references is required.
To learn more about AI at Princeton, please visit https://ai.princeton.edu. Princeton University is committed to fostering a diverse and inclusive academic community. We strongly encourage applications from members of groups that have been historically underrepresented in their chosen field. If you have any questions about this position or the application process, please feel free to contact us at ailab@princeton.edu. All offers and appointments are subject to review and approval by the Dean of the Faculty. These positions are subject to the University's background check policy.

Princeton University is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW

Princeton University's Annual Security Report and Fire Safety Report outlines our campus safety and security policies and contains important tips to help every member of our community be safe and avoid becoming a victim of crime. The Report includes sections relating to crime prevention, the reporting of crimes, alcohol and drug use, sexual misconduct, and other matters. The Report also contain fire-safety policies and prevention efforts for on-campus student housing. In addition, it includes statistics for the previous three years concerning reported crimes that occurred: on campus; in certain off-campus buildings owned or controlled by Princeton University or its students; and on public property within or immediately adjacent to and accessible from Princeton University. A paper copy of the report is available from Public Safety by request.