Postdoc in artificial intelligence for structural bioinformatics and cryo-EM

Linköping University

Application deadline

March 18, 2022

Postdoc in artificial intelligence for structural bioinformatics and cryo-EM

Linköping University

Hereby advertises a position as Postdoc in artificial intelligence for structural bioinformatics and cryo-EM formally based at the Department of Physics, Chemistry, and Biology (IFM).

Work assignments
This position is part of a joint collaboration between the two largest research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP) and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the ultimate goal of solving ground-breaking research questions across disciplines.

This position is part of the post-doctoral research project “Data-driven application to protein-protein interactions”, which is a joint interdisciplinary research project between professor Björn Wallner at Linköping University (Björn Wallner – LiU) and associate professor Alexey Amunts at SciLifeLab (Alexey Amunts – SU) with aim of using and develop AI methods to understand protein-protein interactions and apply them to biologically relevant problems for which we have cryo-EM data. The project involves using existing methods, i.e., AlphaFold, and developing new AI methods that are specific tailored to the problem and the data available. The position is based at the AI structural biology group at LiU, but it also includes extensive collaborations with the cryo-EM group at SciLifeLab.

We are looking for a motivated, independent postdoc researcher in AI and machine learning and/or structural biology eager to learn new methodologies. Central to the project is the development of methods that incorporate experimental data or prior information into the AI methods to improve predictions and modeling capabilities.

The AI structural biology group at LiU consists of one PhD student, one senior AI expert, and one structural bioinformatics professor working on applying AI in structural biology. A new group leader has also been recruited that will join the team after the summer. The group is embedded together with experimental groups in structural biology at the department ensuring that the developed methods are relevant and can be readily applied. The current research focus is on how to incorporate protein dynamics and flexibility into the models to enable a deeper understanding on protein function. The group have access to the newly installed Berzelius GPU-cluster. Berzelius is an NVIDIA® SuperPOD consisting of 60 NVIDIA® DGX-A100 compute nodes supplied by Atos. Each DGX-A100 node is equipped with 8 NVIDIA® A100 Tensor Core GPUs, 2 AMD Epyc™ 7742 CPUs, 1 TB RAM and 15 TB of local NVMe SSD storage. The A100 GPUs have 40 GB on-board HBM2 VRAM.

The cryo-EM group at SU consists of three PhD students, and three postdocs. The group has access to the state-of-the-art cryo-EM facility equipped with Titan Krios microscopes with K3 direct electron detectors. The research focus is on large multi-protein complexes involved in bioenergetics. 

The postdoc position offers an opportunity to further develop your research profile, since the majority of your working time is devoted to research.  As a postdoc, you are expected to work independently and to be able to supervise/co-supervise undergraduate and PhD students. Teaching of undergraduate students may also be included, but not more than 20% of the time.

To be qualified to take employment as postdoc, you must have been awarded a doctoral degree or have a foreign degree that is deemed to be equivalent to a doctoral degree.  This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you.

It is considered advantageous if your doctoral degree is no older than three years at application deadline for this job. If there are special reasons for having an older doctoral degree – such as taking statutory leave – then these may be taken into consideration.

We are seeking applicants who have a Ph.D. degree in a relevant area, such as bioinformatics, computer science or structural biology. Previous experience with machine learning, artificial intelligence and/or structural biology is required. The applicant should also be experienced in programming, preferably Python or equivalent language. Strong communicative skills and fluency in written and spoken English are a requirement. Having worked with large data set in HPC environment is also a merit.

About this job
This post is a temporary contract of two years with the possibility of extension up to a total maximum of three years.

Last updated: 2022-02-17

Content Responsible: David Gotthold(