Researcher in Brain Imaging and Genetics
A researcher SKO1109-position within the field of in Brain Imaging and Genetics is currently available at the Institute of Clinical Medicine, the Centre of Excellence NORMENT - the KG Jebsen Centre for Psychosis Research, University of Oslo. The position is funded for four years by a Young Research Talents grant from the Norwegian Research Council to principal investigator (PI) Researcher Tobias Kaufmann .
More about the position
The appointment is a fulltime position funded for 4 years.
The Researcher will conduct research as part of the project LifespanHealth, which seeks to improve our understanding of lifespan-changes in the brain related to severe mental illness. Bridging between neurobiological core research and clinical utility, the project targets the development of data-driven tools to detect mental illness in children and adolescents before the outbreak of severe symptoms and similar tools to predict the long-term outcome in adults with severe mental illness.
The candidate will analyze large public resources of multimodal brain imaging (sMRI, fMRI, DTI, ASL) and genetics data, linking brain imaging findings to the genetic architecture of common brain disorders.
The candidate will benefit from a fruitful and supportive interdisciplinary working environment at NORMENT, which is a Norwegian Centre of Excellence established in 2013. Within LifespanHealth, the researcher will work closely with PI Kaufmann and a PhD-student schedueled to be hired to the project mid 2018.
- A PhD degree in computational or cognitive neuroscience, biology or psychology. 1-2 years of postdoc experience is a plus.
- Demonstrated strong proficiency in shell scripting, R statistics and Matlab are a prerequisite. Knowledge of other programming languages such as Python is a plus.
- Profound knowledge of the imaging genetics field, in particular:
- Ability to process genetics data from raw processing (imputation, sample stratification, etc.) to genetic association analyses (GWAS, LD-score regression, etc). Expert knowledge of PLINK is expected.
- Ability to process MRI data from raw (preprocessing streams for functional and structural data) to higher-order processing (associations, permutation testing). Expert knowledge of FSL and Freesurfer is expected.
- Expert use of multivariate statistics is a prerequisite and the project requires good capability to handle big data. Knowledge of machine learning and normative modeling frameworks are a plus.
- Strong ability to work independently, organized and focused.
- Excellent written and oral English.
- Strong interest in academic publishing, demonstrated by a publication track record.
- Excellent overview of the current imaging genetics field. Strong motivation and an interest in exploring new ways to look at data are essential.
- Personal research interests well within the scope of the LifespanHealth project, i.e. early detection of patterns of mental illness in brain imaging and genetics data as well as identification of prognostic markers in adults with brain disorders using big data.
Personal skills will be emphasized. The ideal candidate is able to work independently and interactively in a team setting, is ambitious and highly motivated for pursuing a career in science.
- An exciting research environment with a strong multidisciplinary profile and large opportunities for academic development.
- Annual salary of NOK 497 000 – 586.500, depending on qualifications and experience.
- Favorable pension arrangements.
- Attractive welfare benefits in addition to Oslo’s family-friendly environment with its rich opportunities for culture and outdoor activities.
How to apply
The application must include:
- Application letter stating motivation for applying for the position, research interests and relevant work experience.
- CV, summarizing education, positions, complete list of scientific publications and academic work.
- Copies of educational certificates and transcripts of records.
- Contact details of 2 referees (name, relation to candidate, e-mail and phone number)
All documents should be submitted in English through the web-based recruitment system.
Foreign applicants are advised to attach an explanation of their university’s grading system.
After the initial screening process, short-listed candidates may be invited for an interview.
Please see the Personnel regulations for academic employees at the University of Oslo.
According to the Norwegian Freedom and Information Act (Offentleglova) information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure.
The University of Oslo has an agreement for all employees, aiming to secure rights to research results etc.
The University of Oslo aims to achieve a balanced gender composition in the workforce and to recruit people with ethnic minority backgrounds.
For any informal enquiries regarding the positions, please contact project PI Tobias Kaufmann (firstname.lastname@example.org).
Any enquiries regarding the reqruitment process and/or the registration of applications, are to be directed to Human Resources Adviser Kine Yttersian (email@example.com).