Summer Sale

Up to 30% off — ends 2 Aug

ONLY00h00m00s

Publisher
source

Brookhaven National Laboratory

Postdoc in AI-Driven Structure Analysis for Structural Biology at NSLS-II Brookhaven National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
Country flag

Country

United States

University

Brookhaven National Laboratory

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Keywords

Computer Science
Chemistry
Biology
Crystallography
Structural Biology
Artificial Intelligence
Computational Biology
Protein Dynamics
Synchrotron Science
Physics

Suggested positions

About this position

Brookhaven National Laboratory’s NSLS-II is advertising a postdoctoral position in AI-driven structure analysis for biological discoveries. The project sits at the intersection of structural biology, artificial intelligence, crystallography, and computational research, with a focus on two major challenges: understanding how proteins move under near-physiological conditions and detecting/placing weakly bound ligands that are difficult to identify in crystallographic data.

The role is based at one of the world’s brightest synchrotron facilities and involves close collaboration with structural biologists, beamline scientists, and computational researchers. This makes it a strong fit for candidates interested in protein dynamics, ligand identification, synchrotron methods, and data-driven approaches to biological structure analysis.

The post is announced by Martin Fuchs, Lead Beamline Scientist at NSLS-II, Brookhaven National Laboratory. The opportunity is explicitly for a postdoc; no PhD, masters, language-test, or funding details are specified in the provided text. Interested candidates are directed to the linked Workday application page and encouraged to reach out, apply, or share the opportunity.

A second related position in the same project is also mentioned: a crystallization-focused role titled AI-driven Lab Automation for Life Sciences.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?