PhD Position in Pharmaceutical Sciences with Focus on Ai/ Machine Learning

Uppsala University is pleased to invite applicants to apply for a PhD position in bioinformatics. The funds for this fellowship are available for 4 years. Eligible candidates should submit the applications before August 12, 2019.

Department of Pharmaceutical Biosciences has 140 employees and a number of visiting researchers and fellow students. The department has twelve research groups with a common administration and we are doing research and teaching in pharmaceutical cell biology / biochemistry, pharmacology, pharmaceutical and drug addiction, pharmacotherapy, pharmacokinetics, pharmacometry, clinical pharmacy, bioinformatics, imaging mass spectrometry, molecular neuropharmacology, immunology, biological drugs / biotechnology as well as toxicology and drug safety. More information about the department and its activities can be found

The HASTE project is funded by the Swedish Foundation for Strategic Research (SSF) and aims at developing new, intelligent ways of processing and managing very large amounts of microscopy images in order to be able to leverage the imminent explosion of image data from modern experimental setups in the biosciences. Industry collaborators are Vironova AB and AstraZeneca AB. More information about the HASTE project is available at

Requirements: The highly motivated candidate, with an academic degree at the Masters level or equivalent (at least 240 credits), should be experienced in programming and have a strong interest in research on AI/machine learning on image data from life science applications. Excellent skills in oral and written English are required.

Rules governing PhD candidates are set out in the Higher Education Ordinance Chapter 5, 1-7 and in Uppsala university’s rules and guidelines The holders of PhD student position primarily devote their time to own research-level education. Other duties at the Department involving teaching and administrative tasks maybe included in the framework of the position (max 20 %). The PhD program normally lasts for 4 years research, plus maximally one year of teaching.


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