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.

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.

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 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, Civil and Environmental Engineering at Princeton University with focus on Energy and Earth Systems across Scales (from porous media to subsurface and above-ground infrastructure systems)

The Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a faculty position at rank of Assistant Professor in Energy and Earth Systems across Scales, with a preferred start date of September 1, 2025. Candidates must have the ability and motivation to develop a vigorous independent research program and to participate in collaborative efforts of the faculty. 

The successful candidate will have a PhD in an appropriate field and a proven record of innovation and creativity in conducting research at, but not limited to, nexus on energy and Earth systems across scales from porous media to subsurface and above-ground infrastructure systems, as applied to the pressing civil and environmental engineering problems related to resilience, sustainability, and climate change mitigation and adaptation.

The successful candidate would join a dynamic department with world class undergraduate and graduate programs in civil and environmental engineering. The successful applicant will contribute to teaching foundational undergraduate and advanced graduate courses in CEE while also embracing the many transdisciplinary connections across Princeton. An appointment may be made jointly with another department or program.

The department is committed to fostering an academic environment that acknowledges and encourages diversity and inclusivity. We seek faculty members who will create a climate that embraces excellence, with a strong commitment to teaching and mentoring that will enhance the work of the department and that will attract and retain a diverse student body.

Review of applications will begin November 15, 2024, and continue until the position is filled. Applicants should apply online at https://www.princeton.edu/acad-positions/position/36001 and should submit their application cover letter, CV, contact information for three references, three separate statements of (1) research, (2) teaching vision, and (3) diversity, equity, and inclusion, in addition to a single paper that they feel best represents their research and potential for future scholarship. Inquiries regarding this position should be addressed to the Chair of the Search Committee, Prof. Amilcare Porporato at aporpora@Princeton.edu.

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. This position is subject to the university's background check policy.