2 PhD position in Computerized Image Processing and Bioinformatics
Sort on published: 2017-05-22
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 40,000 students, 7,000 employees and a turnover of SEK 6.5 billion.
The Department of Information Technology has approximately 280 employees and conducts research and education in a spectrum of areas within Computer Science and Information Technology. The research is organized in five Divisions, and the research at the Division of Visual Information and Interaction is a unique combination of expertise in computerized image analysis and human-computer interaction. More information about the department and its activities can be found at www.it.uu.se.
The Department of Pharmaceutical Biosciences has about 130 employees and a number of guest researchers and scholarship students. The Department has ten research groups with a common administration and we are engaged in research and teaching in biochemistry, pharmacology, pharmaceutical and drug addiction, pharmacotherapy, pharmacokinetics, pharmacometrics and toxicology. More information about the department and its activities can be found at www.farmbio.uu.se.
The Science for Life Laboratory, SciLifeLab, is a Swedish national center for molecular biosciences with focus on health and environmental research. The center combines frontline technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a joint effort between Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. SciLifeLab was established in 2010 and today, approximately 1,500 persons work within the center. Read more at www.scilifelab.se.
Duties/Project description: Research project: You will join a recently started project that will run for 5 years and which is funded by the Swedish Foundation for Strategic Research (SSF): Hierarchical Analysis of Temporal and Spatial Data (HASTE). The PhD student in Computerized Image Processing will mainly be supervised by Prof. Carolina Wählby, see http://www.cb.uu.se/~carolina/, while the PhD student in Bioinformatics will be mainly supervised by Assoc. Prof. Ola Spjuth, see http://www.farmbio.uu.se/forskning/researchgroups/pb. This interdisciplinary project 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. One central idea is to represent datasets as intelligently formed and maintained information hierarchies, and to prioritize data acquisition and analysis to certain regions/sections of data based on automatically obtained metrics for usefulness and interestingness. To arrive at such smart systems for scientific discovery in image data, we will pursue a range of topics such as efficient data mining in image data, machine learning models with quantifiable confidence that learn an object’s interestingness, and development of intelligent and efficient cloud systems capable of mapping data and compute to a variety of cloud computing and data storage e-infrastructure based on the quality and interestingness of the data. Project partners are at the Department of Information Technology, Uppsala University, Department of Pharmaceutical Biosciences, Uppsala University, Vironova AB and AstraZeneca AB.
We are currently recruiting two PhD students to the project. More information about the project can be found on the project webpage http://haste.research.it.uu.se:
One of the PhD students will focus on detection of informative data from large-scale spatial and temporal experiments (with placement in the Wählby lab), while the other student will focus on machine-learning with quantifiable confidence or probability (with placement in the Spjuth lab)
The successful candidates will be expected to collaborate closely with each other and the project partners towards the goals of the project. There will be opportunities for extended research visits to the sites of the industrial partners.
Qualifications: The candidates must have an MSc degree in bioinformatics, computer science or related areas relevant to the PhD topics. Good programming skills are required and expertise in digital image processing/analysis and machine learning is meriting. The PhD positions are highly interdisciplinary and an understanding and/or interest in life science applications is meriting. Good communication skills in English, both spoken and written, are required.
The position is for four years, but may be extended by teaching and department duties (at most 20%). The PhD education also includes participation in courses related to the research subject.
How to apply: The application should include a letter describing the applicant’s motivation for applying for these PhD positions, relevant qualifications and research interests. State in the application which of the two positions (or both) the application concerns. The application should also include a CV, copies of relevant exams, degrees and grades, MSc thesis and other relevant documents, such as letter(s) of recommendation and contact information to two reference persons. We would also like to know the earliest possible date for starting. Please note that applications can only be accepted via the web interface linked below.
Rules governing Ph.D. candidates are set out in the Higher Education Ordinance Chapter 5, §§ 1-7 and in Uppsala university's rules and guidelines http://regler.uu.se
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.
Pay: According to local agreement for PhD students.
Starting: As soon as possible, temporary position.
Working hours: 100 %
For further information about the position please contact
Prof. Carolina Wählby, email@example.com, +46-18-4713473 or Associate professor Ola Spjuth firstname.lastname@example.org, Ph. +4670 425 0628.
You are welcome to submit your application no later than 2017-08-14, UFV-PA 2017/1961.
Are you considering moving to Sweden to work at Uppsala University? If so, you will find much information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact the International Faculty and Staff Services at email@example.com.
We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.
Placement: Department of Information Technology
Type of employment: Full time , Temporary position longer than 6 months
Pay: Fixed pay
Number of positions: 2
Working hours: 100 %
County: Uppsala län
Ellena Papaioannou, Seko
Per Sundman, Saco-rådet 018-471 1485
Suzanne Borén Andersson, TCO/ST 018-471 6251
Number of reference: UFV-PA 2017/1961
Last application date: 2017-08-14