Job Title: Postdoc Position in Computational Chemistry
PVN ID: BA-2305-005629
Category: Research

Job Description

General Description

One postdoctoral fellow in computational chemistry is available immediately at the Department of Natural Sciences at Baruch College, the City University of New York (CUNY). The initial appointment is 1 year, and could be extended to 3 years upon mutual agreements. You will be primarily contributing to therapeutic peptide design by means of fundamental studies on protein-peptide interactions. A variety of computational approaches will be employed, including but not limited to, atomistic simulations, MARTINI coarse-grained simulations, and machine learning.

Baruch College is located in midtown Manhattan and easily reached from the other towns of the New York City/State and New Jersey by public transportation and car. CUNY provides a diverse range of research institutions and collaborators. CUNY is also strongly committed to a diverse work environment.

Your profile:

The successful candidate is expected to have solid experiences and skills in computational biophysics, physical chemistry, MD simulations, machine learning, coding in Linux OS, and high-performance computing. The candidate is expected to be familiar Gromacs package and python language. Moreover, a strong interest in interdisciplinary research and collaboration with experimental groups is desired. You must hold a PhD or equivalent degree in chemistry or a related field.

What we offer:

- We offer a full-time appointment as a postdoctoral follow for 1 year (with possible extension to 3 years upon mutual agreement).

- The position is open immediately.

- We are offering a competitive scholarship for your stay in the NY area

- CUNY offers competitive benefits covering health insurance, pension and retirement benefits, paid parental leave, and savings programs.

How to Apply:

Please submit your application including cover letter (background and motivation), CV (education, experience, computational skills, and publication list), two letters of recommendation, and transcripts.

Other Duties

  • Publish peer-reviewed papers
  • Attend related conferences
  • Aid professor in supervising undergraduates and/or graduates


The successful candidate is expected to have proven experiences in protein interactions using computational approaches of atomistic/coarse-grained simulations and/or machine learning.

About the Research Foundation

The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).

RFCUNY stands between CUNY’s principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.

Equal Employment Opportunity Statement

The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

Key Features

Full Time
Annual Salary Range
$56,000.00 - $60,000.00
Closing Date
Jul 19, 2023 (Or Until Filled)
Bargaining Unit