Doctoral students in Deep Learning of Proteins in Cells

Updated: 5 months ago
Job Type: FullTime
Deadline: 01 Jun 2023

12 May 2023
Job Information

KTH Royal Institute of Technology
Research Field

Technology » Biotechnology
Biological sciences » Other
Computer science » Other
Researcher Profile

First Stage Researcher (R1)

Application Deadline

1 Jun 2023 - 21:59 (UTC)
Type of Contract

Job Status

Hours Per Week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description
Project description

This project involves machine learning-based modeling of proteins, their structures and interactions with other proteins or general molecules within a cell in order to identify proteoforms and, in general, human proteome. Doctoral students are expected to develop novel or adapt existing state-of-the-art deep architectures for the purposes of this project. The expected methodologies are anticipated to involve probabilistic methods to account for the flexibility of structures as well as self-supervised method to benefit from large-scale data. The positions are announced in connection with a larger KAW project as a collaboration with the CBH school of KTH, SU, and KI.

Third-cycle subject:  Computer Science

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.Read more
  • 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.
  • Help to relocate and be settled in Sweden and at KTH .
  • Access to a research environment with both fundamental deep learning and multidisciplinary research
  • Access to state-of-the-art GPU resources for deep learning research
  • Financial support for the presentation of own’s and collaborative works at international venues.

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

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


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 and
  • analyse and work with complex issues.

The successful candidate has experience and education in both theory and practice of machine learning, especially deep learning. The candidate should also have prior experience with remote GPU and HPC service. 

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

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 KTH's website .

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

Contact information section's website .


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:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • 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 please read here.

We firmly decline all contact with staffing, 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

Type of employment: Temporary position
Contract type: Full time
First day of employment: According to agreement
Salary: Monthly salary according to KTH's doctoral student salary agreement
Number of positions: 2
Full-time equivalent: 100%
City: Stockholm
County: Stockholms län
Country: Sweden
Reference number: J-2023-1237

  • Associate Professor Hossein Azizpour,
  • Lisa Olsson HR officer,
  • Published: 2023-05-11
    Last application date: 2023-06-01

    Research Field
    Years of Research Experience
    1 - 4

    Research Field
    Biological sciences
    Years of Research Experience
    1 - 4

    Research Field
    Computer science
    Years of Research Experience
    1 - 4

    Additional Information
    Website for additional job details

    Work Location(s)
    Number of offers available
    KTH Royal Institute of Technology
    Postal Code
    Brinellvägen 8

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