Ledig stilling på Universitetet i Oslo

Blindern og Urbygningen (Foto: Wikimedia og Colourbox)
Blindern og Urbygningen (Foto: Wikimedia og Colourbox)

Researcher position in statistical data modeling

Deadline: 12.11.2019

Job description

Universitetet i Oslo

The University of Oslo is Norway’s oldest and highest ranked educational and research institution, with 28 000 students and 7000 employees. With its broad range of academic disciplines and internationally recognised research communities, UiO is an important contributor to society.


The Institute of Clinical Medicine (Klinmed) is one of three institutes under the Faculty. Klinmed is responsible for the Faculty's educational and research activities at Oslo University Hospital and Akershus University Hospital. With about 800 employees spread over approximately 425 man-labour years, Klinmed is the university's largest institute. Our activities follow the clinical activity at the hospitals and are spread across a number of geographical areas

Flere stillinger fra Universitetet i Oslo

At the Centre of Excellence (CoE) NORMENT, at the Institute of Clinical Medicine, University of Oslo, there is a Researcher position (SKO 1109) available for 2 years with a possibility of further extension. The CoE NORMENT runs a multicenter study involving all psychiatric hospital departments in Oslo and several research groups at the University of Oslo (UiO). The purpose of the study is to study how biological/genetic, psychological and environmental factors contribute to severe mental disorders. The CoE NORMENT has used their infrastructure for clinical evaluations, neuropsychological testing, MRI brain imaging and biobanking to collect a large database. Specifically, we have collected a large number of genetic and brain imaging data on patients with schizophrenia, bipolar disorder and neurodevelopmental disorders, and the current project is focused on multivariate analysis of these and other large datasets, based on new statistical genetics enrichment methods.

The researcher will work in a project involving data modeling via bioinformatics and/or biostatistical methods; the goal is to quantitatively characterize the genotype-phenotype mapping, using datasets from brain imaging and whole genome studies, as well as population samples. The work will involve multivariate models to identify and quantify the polygenic contribution to development of human disorders, focusing on neuropsychiatric disorders and comorbidities.

An important purpose of the researcher position is to qualify researchers for work in top academic positions within their disciplines.The position is funded for two years with a possibility of further extension.

Qualification requirements

Applicants should have a doctoral degree (PhD) in applied mathematics, statistics, bioinformatics, physics or equivalent. The ideal candidate has methodological expertise and applied experience with parametric or nonparametric multivariate modeling, machine learning methods or generalization performance, classification prediction, familiarity with MATLAB, R and/or Python, and an outstanding potential and genuine interest in applying and developing analytical methodology for this project. Background in population or evolutionary genetics, microarray statistics, Bayesian methods, and information theoretic learning, among others, will also be useful, as well as some knowledge of molecular genetics. The researcher will be key scientific personnel in the project. The researcher will work at the CoE NORMENT. The project is based on international collaboration with European and US partners. The position may involve a period of working abroad.

The ideal candidate:

  • Is ambitious and highly motivated for pursuing a career in science
  • Has a strong background in modeling, computation, method development and large scale data-analysis, and interested in application of the methods
  • Is goal-oriented and enjoys working within a cross-disciplinary team
  • A strong command of English is required

Personal skills will be emphasized. Especially, the candidate should be ambitious and responsible, and also have a great work capacity and enthusiasm for research.

How to apply

The application must include:

  • Application letter including motivation for applying for the position
  • CV (summarizing education, relevant work experience, grants etc)
  • A complete list of publications and academic work
  • Contact details of 2-3 references

After the initial screening process, short-listed candidates may be asked to submit selected publications, educational certificates and transcripts of records. The application with attachments must be delivered in our electronic recruiting system "Jobbnorge". Foreign applicants are advised to attach an explanation of their University's grading system. Please note that all documents should be in English (or a Scandinavian language).In assessing the applications, special emphasis will be placed on the documented, academic qualifications, and previous working experience as well as the candidate's motivation and personal suitability. Interviews with the best qualified candidates will be arranged.

We offer:

  • An exciting research environment with a multidisciplinary profile and large opportunities for academic development
  • Salary NOK 523 200 – NOK 640 200 per annum depending on qualifications
  • Favorable pension arrangements
  • Attractive welfare arrangements

Contact information

For more information about the project:

Formal regulations

Following the Freedom of Information Act (Offentleglova) § 25, Chapter 2, demographic information about the applicant may be used in thepublic list of applicants even if the applicant opts out from the entry in the public application list.

The University of Oslo has an Acquisition of Rights Agreement for the purpose of securing rights to intellectual property created by itsemployees, including research results.

The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.

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