Postdoc in machine learning for cryogenic electron microscopy - Hiring in process/Finished, not possible to apply

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/.

The SciLifeLab and Wallenberg National Program for Data-Driven Life Science
(DDLS) is a 12-year initiative that focuses on data-driven research, within fields essential for
improving the people ́s lives, detecting and treating diseases, protecting biodiversity and creating
sustainability. The programme will train the next generation of life scientists and create a strong
computational and data science base. The program aims to strengthen national collaborations
between universities, bridge the research communities of life sciences and data sciences, and create partnerships with industry, healthcare and other national and international actors. Read more:
https://www.scilifelab.se/data-driven

What we offer

• 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

Qualifications

Requirements

• 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.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

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.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.