2 Doctoral Services In Computerized Imaging And Bioinformatics Uppsala University, Department of Information Technology

2 doctoral services in computerized imaging and bioinformatics

 

Published: 2017-05-22

 

Uppsala University is a broad research university with a strong international position. The task is to conduct research and education of the highest quality and to cooperate in different ways with society. Our most important asset is all the individuals who, with their curiosity and commitment, make Uppsala University one of the country's most exciting workplaces. Uppsala University has 40,000 students, 7,000 employees and a turnover of 6.5 billion.

 

The Department of Information Technology employs about 280 employees and conducts research and education in a range of areas of computer science and IT. The research is organized in five departments. In the department of visual information and interaction, a world-wide combination of expertise in computerized image analysis and human-computer interaction is gathered. More information about the department and its activities is www.it.uu.se .

 

The Department of Pharmaceutical Life Sciences has about 130 employees, as well as a number of guest researchers and fellows. The department has ten research groups with a joint administration and we conduct research and education in biochemistry, pharmacology, drug and drug addiction, pharmacotherapy, pharmacokinetics, pharmacometry and toxicology. More information about the institution and its activities can be found at www.farmbio.uu.se .

 

Science for Life Laboratory , SciLifeLab is a Swedish National Center for Molecular Life Sciences focusing on health and environmental research. The center combines technical expertise in the frontline with advanced knowledge of translational medicine and molecular life sciences. SciLifeLab is a collaboration between Karolinska Institutet, Royal Institute of Technology, Stockholm University and Uppsala University. SciLifeLab was formed in 2010 and today, about 1,500 people work within the center, read more at www.scilifelab.se .

 

Work / Project Description: The research project: Both PhD students will work in a newly launched research project funded by the Foundation for Strategic Research (SSF): Hierarchical Analysis of Temporal and Spatial Data (HASTE) . The doctoral student in Computerized Image Analysis is mainly supervised by Professor Carolina Wählby, see http://www.cb.uu.se/~carolina/ , while the PhD student in Bioinformatics will be mainly trained by Professor Ola Spjuth, see http: // www. Farmbio.uu.se/forskning/researchgroups/pb . This interdisciplinary project aims at new, smart methods for managing and analyzing very large amounts of microscope images from modern experimental platforms in life sciences.      Central approaches in the project are to represent data sets as intelligently structured and managed information hierarchies, and to prioritize data collection and analysis to subset amounts of data based on automatically calculated measurements of how interesting and useful they are from a scientific perspective. To construct such smart systems, we will explore a number of different approaches that combine efficient data mining of data, construction of quantitative models that teach how interesting data are, and intelligent and effective cloud systems that prioritize data storage and calculations based on these metrics. Project partners are the Department of Information Technology, Uppsala University, Department of Pharmaceutical Biology, Uppsala University, Science for Life Laboratory (SciLifeLab), Vironova AB and AstraZeneca AB.

 

We are now looking for two PhD students for the project. See the project website http://haste.research.it.uu.se for a more detailed description of the project. The 
focus of the one doctoral student is the detection of informative data from large-scale image-based microscopy experiments (located in Wählby's group), while the The second doctoral student's focus is machine learning with quantifiable confidence or probability (with placement in Spjuth's group).

 

Qualification Requirements: 


Qualifying to be employed as a PhD student is the one who holds a Master's degree or Masters degree in Computer Science, Bioinformatics or related areas relevant to the research assignment. Good programming skills are a requirement, and the expertise in digital imaging and machine learning is credible. The doctoral student service is interdisciplinary, and understanding of / interest in applications in life sciences is meritorious. Good communication skills in English, both oral and written, is a requirement.

 

The doctoral student service is four years, but can be extended with teaching and institutional tasks (maximum 20%). The PhD program also includes participation in courses relevant to the field of research.

 

Application procedure:

 

The application must contain a letter describing the motivation for seeking this service, relevant qualifications and research interests. Also indicate which of the two services (or both) the application applies to. The application must also contain a CV (CV), with copies of relevant grades, a list of publications and thesis work as well as other documents such as letter of recommendation and contact information for reference persons. We also want to know the earliest possible start date. 

 

Provisions for PhD students are found in the Higher Education Ordinance 5 ch §§1-7 and in the university's rules and guidelines http://regler.uu.se/ .

 

Uppsala University values the qualities that even gender distribution and diversity add to the business. We therefore look forward to searching for all sexes and with different birth background, functionality and life experience.

 

Salary : According to local agreement (Local collective agreement for PhD students).

 

Access:  Immediately, time-limited employment.

 

Extent of employment: 100%

 

Information about the employment is provided by 
Professor Carolina Wählby, carolina.wahlby@it.uu.se, tel 018-4713473 or Docent Ola Spjuth, tel. 070-4250628, ola.spjuth@farmbio.uu.se.  

 

Welcome with your application no later than August 14, 2017 , UFV-PA  2017/1961 .

 

We take away recruitment and advertising offers. We only accept the application as described in the advertisement.

 

Location: Inst. For Information Technology, Inst. For pharmaceutical life sciences

 

Type of employment: Full-time, fixed-term employment longer than 6 months

 

Salary: Fixed salary

 

Number of vacancies: 2

 

Employment rate: 100%

 

Location: Uppsala

 

County: Uppsala County

 

Country: Sweden

 

Union Representative: Ellena Papaioannou, Seko 018-471 3315 


Per Sundman, Saco Council 018-471 1485 


Suzanne Borén Andersson, TCO / ST 018-471 6251 

 

Reference number : UFV-PA 2017/1961

 

Deadline for application: 2017-08-14


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