Published: 2022-08-17
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 over 54,000 students, more than 7,500 employees and a turnover of around SEK 8 billion.
The announced position is placed at Vi3, at the department of information technology, but is also part SciLifeLab BioImage Informatics Facility (BIIF). The department of information technology (www.it.uu.se) is a broad environment with a leading position within research as well as education at all levels. Vi3 gathers a unique combination of expertise in computerized image processing, didactics and human computer interaction. SciLifeLab BIIF is administratively placed here, and offers education and research support within digital image processing and analysis for life science applications. Read more at SciLifeLab BioImage Informatics Facility .
Read more about our benefits and what it is like to work at Uppsala University
Duties
We are looking for a researcher with a PhD degree and strong interest in developing, implementing and adjusting image analysis tools for quantitative analysis of microscopy data. Much focus is on large scale analysis based on machine learning and deep learning/AI. The appointment also includes administrative tasks and teaching in the form of organizing courses and workshops in digital image processing and analysis with life science applications. Supervision of PhD students and MSc theses in the area is also part of the duties, as well as some involvement in research projects within Carolina Wählby’s research group. Carolina Wählby’s research group
Requirements
You should have a PhD degree within digital image analysis/image processing. Documented experience of teaching, administrative tasks and development of digital image analysis methods is a requirement. Good communication skills in English, both written and spoken, is a requirement.
Additional qualifications
Experience from developing and working with machine learning and deep learning, is meriting. Especially meriting is proficiency in using and developing algorithms and analysis pipelines intended for identification and segmentation of cells and microorganisms in culture or in tissue sections, and quantification of biological parameters for these. Experience from teaching and PhD student supervision is also meriting.
About the employment
The employment is a temporary position, 6 months. Scope of employment 100%.Starting dateas soon as possible oras agreed. Placement: Uppsala
For further information about the position, please contact: Carolina Wählby, [email protected]
Please submit your application by 31 August 2022, UFV-PA 2022/2966.
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Submit your application through Uppsala University's recruitment system.
Placement: Department of Information Technology
Type of employment: Full time , Temporary position 3-6 months
Pay: Individual salary
Number of positions: 1
Working hours: 100%
Town: Uppsala
County: Uppsala län
Country: Sweden
Union representative:
Seko Universitetsklubben
[email protected]
ST/TCO
[email protected]
Saco-rådet
[email protected]
Number of reference: UFV-PA 2022/2966
Last application date: 2022-08-31
Apply for position
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