School of Engineering Sciences in Chemistry, Biotechnology and Health at KTH

Job description

Our research focuses on spatial proteomics and cell biology, bridging bioimaging and proteomics to explore fundamental aspects of human cell biology at the single-cell level. We use an antibody-based approach to systematically investigate how human proteins are distributed in both time and space, how variations in their localization contribute to cell type specificity, and how deviations in protein localization may lead to disease.

In this project, you will develop and apply cutting-edge tools and machine learning techniques to model spatial multi-omics data. The aim is to advance our understanding of protein dynamics at the single-cell level and contribute to the broader understanding of cellular processes. You will also use computational image analysis to study variations in protein spatiotemporal expression patterns in relation to the cell cycle and other deterministic factors.

Key Responsibilities

  • Develop and apply innovative spatial omics techniques to analyze multi-omics mostly spatial proteomics data.
  • Collaborate with interdisciplinary teams to model and interpret single-cell protein dynamics.
  • Conduct computational image analysis to study protein expression patterns and their relation to cellular processes.
  • Contribute to the publication of research findings in high-impact journals and present at conferences. 

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
  • Work in Stockholm, in close proximity to nature
  • Help to relocate and get settled in Sweden and at KTH
  • A position within the rapidly growing field of spatial proteomics at Sweden’s largest infrastructure for Life Science
  •  
  • Help to relocate and get settled in Sweden and at KTH.

Read more about what it's like to work at KTH and our benefits.

Qualifications

Requirements

We are looking for a highly motivated postdoctoral researcher with:

  • A PhD in a relevant field such as molecular biology, bioinformatics, cell biology, bioengineering, or a related discipline.
  • Advanced experience in image analysis
  • Strong experience in spatial proteomics, bioimaging, and/or computational biology.
  • Familiarity with machine learning methods for data analysis, especially in the context of omics data.
  • Excellent problem-solving skills, as well as the ability to work independently and as part of a collaborative research team.
  • Experience with computational image analysis (e.g., microscopy data) is highly desirable.
  • Strong written and verbal communication skills in English since needed in the daily work..
  • Subject-related skills
  • Professional skills
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Preferred qualifications

  • Independence
  • You work efficiently without constant supervision and take initiative to solve problems and drive projects forward.
  • Teamwork
    You are a team player who enjoys collaborating with others to achieve common goals, and you communicate and listen well to colleagues.
  • Responsibility
    You take ownership of your tasks and are meticulous in your work. You take responsibility for both successes and challenges.
  • Flexibility
    You can quickly adapt to changing circumstances and have the ability to handle multiple tasks simultaneously without losing focus.
  • Problem-Solving
    You have an analytical and creative approach to challenges, finding solutions and seeing opportunities where others might see obstacles.
  • Communication Skills
    You can express yourself clearly and concisely both in writing and verbally, adapting your communication to different audiences and situations.

Great emphasis will be placed on personal skills.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in 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. Maximally two pages long.

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

About the employment

The employment is valid for a limited time according to the agreement - for up to 12 months, with access according to agreement.

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. 

 

Type of employment Special fixed-term employment
Contract type Full time
First day of employment According to agreement
Salary Monthly payment
Number of positions 1
Full-time equivalent 100%
City Solna
County Stockholms län
Country Sweden
Reference number PA-2025-0111
Contact
  • Diana Mahdessian, diana.mahdessian@scilifelab.se
Published 23.Jan.2025
Last application date 06.Feb.2025 11:59 PM CET
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