KTH Royal Institute of Technology

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.

Job description

These projects are concerned with method development in machine learning as well as applications of the developed methods. The goal is to facilitate investigations of developmental, temporal, and spatial aspect through analysis of cutting edge biological data, which in some cases has single-cell resolution and in cases carries spatial information. Methodologically, this project will be focused on advanced methods for computational inference such as Expectation Maximization, Sequential Markov Chain, Variational Inference, Markov Chain Monte Carlo (MCMC), and Particle MCMC methods, as well as obtaining efficient implementations of such methods by taking advantage of modern computational technology. We are collaborating with groups developing new experimental methods as well as generating biomedical data. We are particularly interested in methods with applications in studies of tumor progression and tumor-immune interactions.

What we offer

  • International workplace.
  • A leading technical university that creates knowledge and expertise for a sustainable future.
  • Here you get colleagues with high ambitions in an open, curious and dynamic environment.

Qualifications

Requirements

A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.

You need a very strong computational background, preferably in areas such as algorithm design, machine learning, and HPC. Excellent programming skills are a requirement. A good understanding of biology is clear merit, but a strong motivation to understand and contribute to biological research is a prerequisite.

Great emphasis will be placed on personal competence and suitability.

Preferred qualifications

  • Scientific skills.
  • Educational ability.
  • Awareness of diversity and equal treatment issues with a particular focus on gender equality
  • Cooperative skills.
  • Independence.

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 publications as well as 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 one page long.
  • Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

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).

Fixed term employment for two years.

About the employment

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

The starting date is open for discussion, though ideally, we would like the successful candidate to start as soon as possible.

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

Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.

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

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 Temporary position longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 2
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2019-3164
Contact
  • Jens Lagergren, jens.lagergren@scilifelab.se
  • Maria Engman, maengm@kth.se
Published 09.Dec.2019
Last application date 31.Jan.2020 11:59 PM CET

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