KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science

Project description

Third-cycle subject: Computer Science

Cryo-EM is a method for reconstructing the 3D structure of a biological molecule using images from electron microscopes. However, the images obtained from the electron microscope are often plagued by high levels of noise, which is typically mitigated by using a large number of images, which in turn leads to high data collection costs.

This project proposes a new method for reconstructing 3D structures of molecules from cryo-EM images using generative models. The prospective student will join Azizpour's group and develop novel generative models of biomolecules' structures to be used, by other project members, as a prior in a Bayesian inference of the biomolecules' dynamics in order to construct more reliable 3D structures.

The project is a collaboration within Digital Futures between the Departments of Intelligent Systems and Mathematics at KTH and the Department of Biochemistry and Biophysics at SU.

Supervision: Associate Professor Hossein Azizpour

What we offer

The possibility to study in a dynamic and international research environment in collaboration with industries and prominent universities from all over the world.
A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
Work and study in Stockholm, close to nature and the water.
Help to relocate and be settled in Sweden and at KTH.
A vibrant environment with both fundamental and applied deep learning research
Access to A100 GPUs
Support for traveling to present research output

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

passed a second cycle degree (for example a master's degree), or
completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
acquired, in some other way within or outside the country, substantially equivalent knowledge
strong programming skills, esp. deep learning
prior education and research experience in machine learning

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

independently pursue his or her work
collaborate with others,
have a professional approach,
analyse and work with complex issues,
research experience and education in theory and practice of generative modeling,
research experience or education in life science data and
prior experience with remote GPU and HPC services.

After the qualification requirements, great emphasis will be placed on personal skills.

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

Union representatives

Contact information for union representatives.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

Contact information for doctoral section.

To apply for the position

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements:

CV including your relevant professional experience and knowledge.
Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified.
Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

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.

It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

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

About KTH

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here

Apply here

Type of employment

Temporary position

Contract type

Full time

Full-time equivalent

100%

First day of employment

According to agreement

Salary

Monthly salary according to KTH's doctoral student salary agreement

Number of positions

Location

Stockholm

County

Stockholms län

Country

Sweden

Reference number

PA-2025-1143

Published

10.Apr.2025

Last application date

13.May.2025

Contact

Associate Professor Hossein Azizpour

azizpour@kth.se

Lisa Olsson HR Officer

rekrytering@eecs.kth.se

Biomolecules jobs

Doctoral student in Generative Modeling of Biomolecules