Uppsala universitet, Institutionen för farmaceutisk biovetenskap

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 at www.farmbio.uu.se.

Duties/Project description: We are currently looking for an ambitious, highly motivated Postdoc with a good background in AI and an interest in automation with robotics in the field of life science, to join the research group of Assoc. Prof. Ola Spjuth (group website:https://www.farmbio.uu.se/research/pharmaceutical-bioinformatics/ ). The group has built up a robotized cell profiling system with high-content microscopy imaging as primary readout, and the purpose of the project is to train models on this data and develop methods for intelligent decision making when designing future experiments. Theory and methods development will have an initial focus on confidence predictors, probabilistic predictors and active learning, and the methods will be implemented and evaluated in the robotized lab. The successful candidate will join an interdisciplinary team of researchers and participate in a project aiming to develop autonomous laboratories with applications in pharmacology and toxicology. For more information on the project, see https://pharmb.io/project/ai-automated-laboratory/.

This is a 2 year postdoc position and part of the strategic research area effort eSSENCE´s PostDoc-program towards new e-science methods and tools for artificial intelligence in research.

Requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc. The highly motivated candidate should have a PhD in a relevant field, and documented previous experience of AI/ML methods. Skills in programming/scripting with e.g. Python is a requirement. Experience from working in life science and/or with robotics/automation is desirable. The candidate should have excellent communication skills and be keen on actively interacting with other team members including biologists, software engineers, and researchers in AI/ML. Excellent skills in oral and written English are required.

Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.

Salary: Individual salary.

Starting date: immediately,  otherwise agreed.

Type of employment: Temporary position 2-year position, according to central collective agreement.

Scope of employment: 100 %

For further information about the position please contact: Senior lecture Ola Spjuth, e-mail Ola.Spjuth@farmbio.uu.se, tel +46 18 471 4681

Please submit your application by March 19, 2020, UFV-PA 2020/392.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

Type of employment Temporary position
Contract type Full time
First day of employment Omgående
Salary Fixed salary
Number of positions 1
Full-time equivalent 100%
City Uppsala
County Uppsala län
Country Sweden
Reference number UFV-PA 2020/392
Union representative
  • Seko Universitetsklubben, seko@uadm.uu.se
  • ST/TCO, tco@fackorg.uu.se
  • Saco-rådet, saco@uadm.uu.se
Published 12.Feb.2020
Last application date 19.Mar.2020 11:59 PM CET

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