PhD project - Do 3D facial and genetic features correlate with brain disorder?
Institute of Biological Psychiatry, Copenhagen University, and DTU compute that are building on an international and highly competitive research environment, are now seeking a talented and highly motivated PhD candidate with interest in statistical modelling and genetics for a three year PhD Scholarship supported by the Lundbeck foundation.
With a vision of creating a medical imaging tool to identify individuals at risk of developing disease, the PhD projects aim is to identify anthropometrical biomarkers, i.e. facial traits, associated with psychiatric disorders. This shall be accomplished by using 3D-imaging and analysis techniques to identify facial traits associated risk of sever psychiatric disorders and determination of the genetic basis of facial variation in both healthy and diseased individuals.
The project will based on A) existing material of >1500 unrelated individuals and B) a family cohort of >300 families with 3D images captured using a canfield Vectra M3 system and whole genome analysis using Illumina HumanOmniExpres arrays. C) New collection of individuals using both stationary and portable 3D imaging tools.
The project will involve analyzing 3D images and genetic data using different analysis and statistical tools. The research will build on a large state-of-the-art toolbox for facial analysis developed at DTU Compute. The candidate will primarily work at Rigshospitalet-Glostrup, however obligatory exchange with DTU compute and Copenhagen University is expected. The PhD candidate will work with the Research Leader and supervisor Thomas F Hansen and formally report to the Director of the Insti-tute, Professor Thomas Werge. Co-supervisors are Ass. Prof Rasmus R. Paulsen and Professor Haja Kadarmideen.
An ideal candidate shall have a background in genetics, bioinformatics or computer science and be experienced with pro-gramming tools and languages such as BASH, R, Python, C++ or MATLAB. Working experience with GWA analysis using programs like PLINK, GCTA, or IMPUTE2 or experience with image analysis in C++ or Python is considered an advantage.
A good candidate should be able to acquire the skills for handling large and complex datasets, do multivariate analysis and to handle different data resources like 1000G, Hapmap, GO, KEGG, and REACTOME.
The preferred candidate should have a strong drive, self-motivated and creative. An open-minded and analytical personality, with the ability to work independently and in structured groups is considered strong assets.
The appointment will be based on the collective agreement with the Confederation of Professional Associations. The allowance will be agreed with the relevant union. Starting date is preferably December 1st or as soon as possible. The employment will be for a period of three years based on a full-time appointment (37 hours per week).
Further information may be obtained from Research Leader Thomas Folkmann Hansen at telephone no. +45 2282 5659 or e-mail: Thomas.email@example.com.
We encourage submission of applications as soon as possible and no later than January 15, 2017.
The application must be submitted as one PDF file and include the following appendices in the order mentioned below. All ma-terials must be in English:
- Cover letter with referring specifically to the job profile
- Curriculum vitae, incl. a specification of work and project experience
- If applicable, a list of peer reviewed publications and abstracts
- Diplomas for academic degrees and other relevant documentation.
Applications that do not fulfill the requirements will be rejected, without further explanations or notifications. Job interviews will be held as soon as possible after receipt of the application. For residents outside Denmark, initial interviews will be held using SKYPE or similar arrangement.
All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.