Open Faculty & Academic Professional Positions

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 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.

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 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.

The Skinnider Lab at Princeton University aims to recruit a postdoctoral or more senior research position to work on projects related to the identification of performance-enhancing drugs via computational mass spectrometry. The position is available starting November 2024 and will remain open until excellent fits are found.

The successful candidate will develop and apply computational approaches for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on identification of novel performance-enhancing drugs (PEDs). These so-called 'designer' PEDs include numerous high-profile examples of synthetic drugs that have allowed elite athletes to evade anti-doping programs in the past, such as tetrahydrogestrinone. The project seeks to accelerate the discovery and response to the proliferation of new doping agents through the development of chemical AI technologies. The successful candidate will develop the technologies in question, implement them in user-friendly software tools, and collaborate closely with anti-doping programs to apply these technologies for PED discovery. 

The scope of the work builds on recent publications from the laboratory, e.g., predicting future illicit drugs with chemical language models (https://www.nature.com/articles/s42256-021-00407-x) and re-analyzing large-scale clinical datasets for illicit drug identification (https://pubs.acs.org/doi/full/10.1021/acs.analchem.3c03451). The research is computational in nature but involves close interactions with experimental and clinical collaborators. 

This opportunity will prepare the incumbent for a range of competitive positions in academia or industry that involve computational biology/chemistry, machine-learning for biological data, drug discovery/design, toxicology, sports science, or forensic science. Mentorship is taken seriously and every effort will be made to ensure the candidate is able to achieve goals in the next stage of their career.

The successful candidate will be motivated, independent, and have strong written communication skills. Applicants are required to have experience in one or more of the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, machine learning/computer science, toxicology/forensic chemistry, sports science/anti-doping.

The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments.

Individuals should have or be expected to have a PhD with appropriate research experience in computational biology, chemistry, biochemistry, computer science, biological engineering, toxicology, sports science, or a related field. To apply online, please visit https://puwebp.princeton.edu/AcadHire/position/37041 and submit CV and cover letter. Cover letter should highlight 1-3 publications or preprints that you feel best address the requirement for experience in above-mentioned areas. Please also include contact information for three references. Qualified candidates who pass an initial screening may be provided with short programming exercises to assess their skills. Only suitable candidates will be contacted.

This is an in-person position on Princeton University's campus and is subject to a background check.

Assistant Professor
The Department of Computer Science at Princeton University invites applications for tenure track faculty positions at the Assistant Professor level. We are accepting applications in all areas of Computer Science. Applicants must demonstrate superior research and scholarship potential as well as teaching ability. 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. Candidates should expect to receive their PhD before September 1, 2025. 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 at least three people 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 as needed. This position is subject to the University's background check policy

The Department of Philosophy invites applications for two faculty positions in philosophy, beginning September 1, 2025. Rank: Assistant Professor (tenure track). Areas of specialization/concentration: OPEN. Responsibilities include coursework, advising and service. Salary commensurate with qualifications. A Ph.D. or equivalent by September 1, 2025 is strongly preferred, but not required. Candidates for the Ph.D. who have not completed all the requirements by September 1, 2025 will be appointed at the rank of Instructor for one year (renewable), with promotion to Assistant Professor dependent on the timely completion of the PhD. The Department values diversity among its faculty, is committed to building a culturally diverse intellectual community, and strongly encourages applications from women and members of underrepresented groups. 

A complete application will contain the following materials: 1) a letter of application, 2) a curriculum vitae, 3) a sample of writing in the candidate's field of specialization, 4)  contact information for three or more confidential letters of reference. This position is subject to the university background check policy. Please direct all materials to: https://puwebp.princeton.edu/AcadHire/position/36061 

Deadline: Applications that are complete by October 1, 2024 will be assured of the most careful consideration. 

Department Chair: Benjamin Morison, Search Committee Chair: Una Stojnic