Postdocs in Machine Learning in Computional Biology - Hiring in process/Finished, not possible to apply

Department information

Your work will take place at the department of Computational Science and Technology. The division is a part of the school of Electrical Engineering and Computer Science. For more information go to: https://www.kth.se/cst

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.

These are two-year time-limited positions.  The starting date is open for discussion, though ideally, we would like the successful candidate to start as soon as possible. 

Qualifications

In order to be employed, you must have a Ph.D. or be about to receive one soon. 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.

Trade union representatives

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

Application

The application should contain the following:

1. CV including publications as well as relevant professional experience and knowledge.
2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish if the original documents are not issued in one of these languages.
3. Brief explanation of why you want to conduct research, about your academic interests and how they relate to your previous studies and future goals; max 1 page long.
4. Contact information for two reference persons. We reserve the right to contact references only for selected candidates.

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.

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).

Others

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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.