KTH Royal university of Technology, Sweden - Logo

Postdoc Job in machine learning for cryogenic electron microscopy at KTH, Sweden 2022


Postdoc Job in machine learning for cryogenic electron microscopy is available for doctoral degree candidates in artificial intelligence, machine learning at the School of Engineering Sciences, KTH Royal Institute of Technology, Sweden 2022

Save 0

Scroll Down for Content

General Info

Position: Postdoc
No. of Positions: 1
Research Field: ,
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: According to standard norms

School of Engineering Sciences

KTH Royal Institute of Technology, Sweden


Scroll Down for Content

Qualification Details

  • A doctoral degree or an equivalent foreign degree, This eligibility requirement must be met no later than the time the employment decision is made.
  • Research expertise
  • Experience with machine learning methods
  • Creativity
  • Independence
  • Collaborative abilities

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Knowledge and experience of deep learning frameworks, such as PyTorch or TensorFlow
  • Teaching abilities
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal competency.

Responsibilities/Job Description

Single-particle cryogenic electron microscopy (cryo-EM) is a tomographic method for computationally recovering the 3D structure of a biomolecule from electron microscope imaging data, which is having profound impact on structural biology in general, and drug design in particular. Current 3D reconstruction methods only work for quite rigid biomolecules but these molecules often have inherent flexibility that is of interest in structural biology as changes in the atomic structure are crucial in determining function. This postdoctoral research project will focus on developing data-driven priors of atomic models using domain-adapted neural networks trained on simulations obtained from molecular dynamics. These priors will then be used to estimate entire atomic model trajectories given cryo-EM data.

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.

Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/.

How to Apply?

Application Method: Online Application
Ref. No.: S-2022-0743

Application Procedure

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

About the Employer:

Note or Other details

  • A position at a leading technical university that generates knowledge and skills for a sustainable future
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Scroll Down for Content

Contact details

Advertisement Details:

Other Vacancies from this field

Scroll Down for Content


share on facebook share via twitter share via linkedin share via whatsapp share via email share on telegram share on Line share on Vkontakte