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 proteomics experiments. Methodologically, this project will be focused on advanced unsupervised methods for computational inference such as Factor analysis, and auto-encoding Deep 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 mass spectrometry-based proteomics 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.
Applicants should have a background with master’s degree of Science in Computer Science, Statistics or any other discipline with large component of quantitative science. Programming skills are required. Applicants should be strongly motivated for research studies, capable of independent work and critical analysis as well as good cooperation and communication skills. Good skills in written and spoken English is required. Knowledge of biology and computational biology are regarded as advantageous qualifications.
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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