Ph.D. Student in Computational Biology and Machine Learning
KTH Royal Institute of Technology, School of Biotechnology
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 in architecture, industrial management, urban planning, history and philosophy.
The project is concerned with Machine Learning and probabilistic modeling applied to single cell expression analysis. Methodologically, this project will be focused on advanced methods for computational inference such as Expectation Maximization, Dynamic Bayesian Models, and Deep Convolutional Neural Networks, as well as implementation of such methods on modern high performance computers and clusters. We expect to collaborate with groups developing new experimental methods, particularly single-cell methods, at SciLifeLab as well as with international collaborators.
This is a four-year time-limited position that can be extended up to a year with the inclusion of a maximum of 20% departmental duties, usually teaching. In order to be employed, you must apply and be accepted as a doctoral student at KTH. The starting date is open for discussion, though ideally we would like the successful candidate to start as soon as possible.
A suitable background for this position would be a master’s degree of Science in Computer Science, Statistics or any other discipline with large component of quantitative science. Programming skills and language skills are required. Knowledge of biology and computational biology are regarded as advantageous qualifications.
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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.
Application shall include the following documents:
- Cover Letter
- Curriculum vitae
- Transcripts from University/University College.
- A link to any piece of source code that you have been involved in developing.
Please observe that all material needs to be in English, apart from the official document.
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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.
|Type of employment||Temporary position longer than 6 months|
|Contract type||Full time|
|First day of employment||According to agreement|
|Salary||Monthly salary according to KTH’s Ph.D. student agreement|
|Number of positions||1|
|Last application date||15.May.2017 11:59 PM CET|