Postdoc - Molecular Machine Learning Foundation Models

Postdoc - Molecular Machine Learning with Foundation Models

We are seeking highly motivated postdoctoral researchers to join these projects.

If you are passionate about protein dynamics and design, protein function prediction, small molecule property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and technology.

Responsibilities include:

• Development of cutting edge foundation models for protein design, small molecule property prediction, or protein function prediction
• Data generation and curation, including molecular simulation and genomic approaches
• Application of the modeling approaches in relevant downstream tasks
• Co-development of high-performance computing AI training codes for the first European Exascale Supercomputer JUPITER
• Engagement in national and international ML/DL communities and the Helmholtz Foundation Model initiative
• Present research results at scientific meetings, conferences, and as scientific publications

Your Profile

Requirements include:

• A Master`s degree and an excellent PhD degree in Biochemistry, Chemistry, or a related Molecular Science
• Proven Track Record in Machine Learning, Molecular Simulations, Chemo informatics, Statistical Physics, Genome Annotation, and/or related fields
• Practical experience with High Performance Computing Systems as well as parallel/distributed programming
• Very good command of written and spoken English
• Your experience should be documented in research papers and Open Source code projects
• Self-motivated personality, curiosity about working in a multi-disciplinary team environment on scientifically challenging problems

Our Offer

We offer:

• Work on frontiers of scientific and technological challenges with access to cutting-edge and unique supercomputing systems
• Scientific work embedded in a vibrant community of experts in Molecular Modeling and Simulations, Machine Learning, and lab research
• An exciting working environment on an attractive research campus, located between the cities of Cologne, Düsseldorf, and Aachen
• Full-time position with the option of slightly reduced working hours and 30 days of annual leave
• Flexible working hours and various opportunities to reconcile work and private life
• Targeted services for international employees, e.g., through our International Advisory Service

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.