Postdoctoral Fellow in Machine Learning: Join a pioneering research endeavor as a Postdoctoral Fellow in Machine Learning at Stockholm University’s Department of Biochemistry and Biophysics. This position is part of a collaborative project between the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Dive into groundbreaking research aimed at unraveling the mysteries of membrane protein function, evolution, and disease through the lens of machine learning and computational biology.
Postdoctoral Fellow in Machine Learning: Data-Driven Studies of Membrane Protein Function
Designation:
Postdoctoral Fellow
Research Area:
Machine Learning, Computational Biology, Biochemistry, Biophysics
Location:
Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
Eligibility/Qualification:
- Hold a Swedish doctoral degree or an equivalent degree from another country.
- Completion of the degree no more than three years before the closing date.
- Background in both machine learning and computational chemistry/biophysics preferred.
Job Description:
The Postdoctoral Fellow will contribute to the collaborative project focused on multiscale simulations and machine learning applied to membrane protein function. Main responsibilities include developing and applying machine-learning methods to predict the biological reactivity and functional dynamics of membrane proteins responsible for energy transduction in mitochondria. The candidate will work closely with Prof. Ville Kaila’s Lab (Stockholm) and collaborate with Dr. Simon Olsson Lab (Chalmers), integrating computational, biochemical, biophysical, and structural data.
How to Apply:
Interested candidates should apply through Stockholm University’s recruitment system, ensuring the application is complete according to the instructions provided in the job advertisement. Please include:
- Contact details and personal data
- Highest degree information
- Language skills
- Contact details for 2–3 references
- Cover letter
- Curriculum vitae (CV)
- Research proposal (no more than 3 pages)
- Copy of PhD diploma
- Up to 3 contact names for providing recommendation letters upon request
- Publications in support of the application
Last Date for Apply:
Application deadline: 23rd April 2024.
For more information, contact Professor Ville R. I. Kaila at ville.kaila@dbb.su.se.
Stockholm University is committed to creating a workplace free from discrimination and offering equal opportunities to all applicants.
