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Postdoctoral Research Fellowship in Imaging Genetics and Machine Learning 2019, University of Oslo, Norway

University of Oslo, Norway


Deadline:

August 04, 2019


Opportunity Cover Image - Postdoctoral Research Fellowship in Imaging Genetics and Machine Learning 2019, University of Oslo, Norway

Doctoral research fellow in imaging genetics and machine learning 

A 4-year PhD research position is available at the Department of Psychology, University of Oslo. The position is funded by the UiO:Life Science Convergence Environment, and the candidate will be integrated in a cross-disciplinary team spanning psychology, medicine, computational neuroscience, genetics and philosophy. The focus of this position is to advance methods for personalized approaches in clinical neuroscience by integrating genetic, imaging and clinical data using machine learning.

NORMENT is a Norwegian Centre of Excellence aiming to identify causes and improve treatment of mental illness. The Multimodal Imaging group is funded by an ERC Starting Grant in addition to several grants from the Research council of Norway and the Norwegian Regional Health Authorities. The group is directly involved in various large-scale international collaborative efforts and consortia, to which the successful candidate is expected to contribute.

LCBC is an international and multi-disciplinary research center. It coordinates the largest EU funded project studying lifespan changes in brain and cognition, ‘LifeBrain’ , and a number of projects funded by the ERC, the Norwegian Research Council, EU and The National Health Association. LCBC was in 2015, as one of five, appointed status as a “world leading” research group at the University of Oslo.

More about the position

The fellowship will be for a period of 4 years, including 25% compulsory work for UiO:Life Science. In addition to large-scale imaging genetics data from population-based studies (e.g ABCD, UK Biobank), our group has collected genetic (SNP, DNA methylation; proteomic), brain imaging (MRI, fMRI, and PET) and clinical (symptoms, diagnosis) data from a large number of patients with mental disorders and healthy controls.

The candidate is expected to use and/or develop machine learning models to integrate such data to expand our knowledge about risk and protective factors in relation to mental disorders. The candidate will work closely with other PhD and post doc fellows from other disciplines such as neurosciences, psychology, molecular biology and mathematics.

Qualification requirements

  • Applicants must hold a Master’s degree within a relevant field, with documented experience in machine learning, data mining, bioinformatics, biostatistics, or computer sciences. Previous training in brain imaging or statistical genetics will be preferred, but is not a prerequisite.
  • Fluent oral and written communication skills in English.
  • Experience with statistical analysis and programming in at least one of following languages: R, Python, Matlab, Julia, C++/C, Java.

Personal skills

  • Candidates who are ambitious, innovative, self-motivated and organized will be preferred.
  • The candidate must be qualified for admission to the PhD program at the Faculty of Social Science, University of Oslo.

For more information click "LINK TO ORIGINAL" below.


Eligible Countries
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Publish Date
May 27, 2019




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