Uppsala University is a comprehensive research-intensive university with a strong international standing. Our mission is to pursue top-quality research and education and to interact constructively with 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 46.000 students, 7.300 employees and a turnover of SEK 7.3 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
Tasks: In collaboration with other researchers, develop, implement and test systems for AI-controlled automated microscopes. The task includes interacting directly with the microscope and establishing pipelines where models trained on previously taken images decide and control where the microscope should take images in the next step to reach a specific goal. We are looking for a candidate with a genuine interest in technology and automation, and who enjoys solving problems including both practical interaction with hardware (robots, microscopes) and different types of software. Since our microscopes generate large amounts of images, the position will also include large-scale data management and -analysis. You will work with researchers in AI modeling and biological laboratory sciences, and contribute to implementing methods and evaluating them for different types of biological problems.
This position is part of the HASTE project, funded by the Swedish Foundation for Strategic Research (SSF) aiming 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 http://haste.research.it.uu.se
Qualification requirements: A master's degree in engineering or a university degree in a relevant field is a requirement. Good programming skills in Python and preferably more programming languages is a requirement. Experience in AI modeling, Linux systems as well as developing REST services and APIs is a requirement.
Experience of AI modeling on image data, practical handling of automated microscopes and working with software containers (e.g. Docker/Singularity) is meriting.
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. The applicant should be curious, creative, and have a very good ability to work in a team but also work independently. The applicant should have excellent organizational skills, be able to work in a structured way with many contemporary projects, and solve expected and unexpected complex problems. Excellent knowledge of English speech and writing is a requirement.
Salary: Individual salaries.
Starting date: November 2020
Type of employment: Temporary position for 24 months.
Scope of employment: 100 %
For further information about the position please contact: Associate Professor Ola Spjuth e-mail Ola.Spjuth@farmbio.uu.se or administrative coordinator Marina Rönngren, e-mail firstname.lastname@example.org
You are welcome to submit your application no later than November 25 2020, UFV-PA 2020/3945.
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Type of employment: Full time , Temporary position longer than 6 months
Pay: fast månadslön
Number of positions: 1
Working hours: 100
County: Uppsala län
Number of reference: UFV-PA 2020/3945
Last application date: 2020-11-25
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