Postdoc: Stochastic Gene Expression & ML in Biology

Stony Brook University; Stony Brook, Northern (NY, KY); Hybrid; USD 60,000 - 72,000; Full time

Job summary

Stony Brook University invites applications for two Postdoctoral Researchers to join a program on the mathematical and computational theory of stochastic gene expression. The Grima group has relocated to Stony Brook University and offers an opportunity to establish the lab’s research program while pursuing an active international agenda.

The successful candidates will work at the interface of applied mathematics, statistical inference, machine learning, and quantitative biology, developing

Qualifications

• PhD (or foreign equivalent) in a quantitative field by the start of the appointment.
• Strong background in stochastic processes, probability theory, dynamical systems, statistical mechanics, machine learning or applied/computational mathematics.
• Demonstrated ability to carry out original mathematical derivations and/or develop computational tools, evidenced by publications, preprints, or thesis work.
• Proficiency in a scientific computing language (Python, MATLAB, Mathematica, Julia, R or C/C++).

Responsibilities

• Develop mathematical and computational approaches, including machine learning tools, to study how genes are switched on and off and how they interact — and fit these models to single-cell data to test how well they explain what's actually observed.
• Co-author manuscripts for submission to leading quantitative biology, applied mathematics, and biophysics journals.
• Present research at group meetings, seminars, and international conferences.
• Mentoring of graduate/undergraduate students as opportunities arise.
• Other duties as assigned.

Skills

Stochastic processes

Publications

Machine learning

Mathematical derivations

Education

PhD in a quantitative field

Tools

Python

MATLAB

R

C/C++

Julia

Job description

Stony Brook University invites applications for two Postdoctoral Researchers to join a program on the mathematical and computational theory of stochastic gene expression. The Grima group has relocated to Stony Brook University and offers an opportunity to establish the lab’s research program while pursuing an active international agenda.

The successful candidates will work at the interface of applied mathematics, statistical inference, machine learning, and quantitative biology, developing