Postdoc with a focus on analysis of high-content imaging with AI
Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has 45,000 students, 7,000 employees and a turnover of SEK 7 billion.
The Department of Pharmaceutical Biosciences has 135 employees as well as a number of guest researchers and fellows. The department has fifteen research groups / research areas with a joint administration and we conduct research and teaching in pharmaceutical cell biology and biotechnology, biochemistry, immunology, protein drug design, biological drugs / biotechnology, pharmacology, pharmaceutical and drug addiction , pharmacognosy, galenic pharmacy, bioinformatics, imaging mass spectrometry, molecular neuropharmacology, 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 have an open Postdoc position in the research group of Prof. Ola Spjuth (group website: https://pharmb.io and https://farmbio.uu.se/forskning/farmaceutisk-bioinformatik/). The successful candidate will join an interdisciplinary team of researchers and participate in a project to build up an intelligent, automated laboratory for cell profiling, with applications in systems medicine. The focus of the project is to develop and apply methods for analyzing images from large-scale high-content imaging experiments such as drug screening. This includes image analysis such as cell segmentation, calculation of morphological features, unsupervised and supervised learning (AI/ML) including deep learning on image-based data. For more information, see https://pharmb.io/project/autonomous-phenomics/. The project is a collaboration with the Kallioniemi group (https://ki.se/en/onkpat/olli-kallioniemis-group) at Karolinska Institute.
Requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree in data science, bioinformatics, or equivalent field . 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. Documented experience in data science, python programming, image analysis and experience from working on linux-systems is a requirement. AI/ML-modeling with methods such as deep neural networks trained on image data is a requirement.
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. You are able to take instructions but also work independently to carry out analysis on your own. Excellent skills in oral and written English are required.
Additional qualifications: Previous experience of image analysis of cells, Cell Profiler pipelines, Deep Learning on data from cell-based assays, and high-throughput and high-content microscopy imaging, is meriting.
Salary: Individual salary.
Starting date: 15-02-2021 or as otherwise agreed.
Type of employment: Temporary position for 2 years according to central collective agreement.
Scope of employment: 100 %
For further information about the position please contact: Professor Ola Spjut, e-mail Ola.Spjuth@farmbio.uu.se or administrative coordinator Marina Rönngren, e-mail email@example.com
Please submit your application by 28 january 2021, UFV-PA 2020/5061.
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Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed salary
Number of positions: 1
Working hours: 100%
County: Uppsala län
Union representative: Seko Universitetsklubben email@example.com
Number of reference: UFV-PA 2020/5061
Last application date: 2021-01-28