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University of Copenhagen. Kopenhagen (Dänemark), 10.10.2017
Part of the International Alliance of Research Universities (IARU), and among Europe’s top-ranking universities, the University of Copenhagen promotes research and teaching of the highest international standard. Rich in tradition and modern in outlook, the University gives students and staff the opportunity to cultivate their talent in an ambitious and informal environment. An effective organisation - with good working conditions and a collaborative work culture - creates the ideal framework for a successful academic career.
PhD in computational disease systems biologyA number of PhD positions are available in the Translational Disease Systems Biology group at The Novo Nordisk Foundation Center for Protein Research (CPR - www.cpr.ku.dk). The Center was established at the Faculty of Health and Medical Sciences, University of Copenhagen, to promote basic and applied discovery research on human proteins of medical relevance. The Center comprises a wide range of expertise and resources including proteomics, protein production, bioinformatics and general characterization of disease mechanisms. The Programme for Disease Systems Biology (DSB) consists of two research groups covering many systems level aspects of biology and medicine, including the integration of molecular-level data and healthcare data, for example laboratory test data and biomedical texts.
The Translational Disease Systems Biology group (www.cpr.ku.dk/research/disease-systems-biology/brunak/) part of DSB and led by Søren Brunak, focuses on establishing early competitive advantages in disease-relevant computational analyses across the general areas of bioinformatics, chemoinformatics, systems biology and medical informatics.
The PhDs will work in a multidisciplinary project team. One candidate will work in the EU-ToxRisk consortium, a H2020-funded pan-European research consortium, aiming at delivering strategies to enable reliable animal-free hazard and risk assessment of chemicals. One goal of the EU-ToxRisk consortium is to integrate advancements in system biology and computational modeling to define the complex chains of events that link chemical exposure to toxic outcome. Another candidate will work on data-driven models of temporal disease development using a combination of molecular data and data from the healthcare sector, where the latter has the form of clinical, registry data or complete electronic patient records. These models will in part be descriptive and show how different diseases and diagnosis follow each other over long periods and in part predictive in the sense that longitudinal patterns of illnesses, medication and procedures will indicate future events. The models may be augmented by molecular level biomarker data from genomics or proteomics further increasing the predictive power. Prior knowledge of disease classification schemes and standard vocabularies is an advantage.
The candidates will focus on data analysis using computational systems biology methods. The candidates will utilize data integration, statistical genetics and pathway-based methods to identify novel biomarkers associated to toxicology.
The candidates hold a master degree or equivalent in biology, genetics, statistics, computational biology, bioinformatics or a related discipline of biomedical research. Preferably, the candidates have experience in statistical genetics, genomics, computational chemistry and knowledge of R. Programming experience is an advantage as is having worked with big data. Research experience in chemical toxicology is a plus. Furthermore, the successful candidates have experience within some of the following areas:
- Bioinformatics and systems biology at the molecular level
- Experience with toxicology
- Medicine, pharmacology or genomics
- Project management of interdisciplinary research projects within translational bioinformatics
- Experience with data structures, databases, and data architectures
- Knowledge of biomedical resources and infrastructures
- Competences within statistics and/or machine learning techniques
- Broad understanding of Healthcare data from national registries and electronic patient records from hospitals
- Prior research experience with healthcare terminologies, schemes and ontologies, e.g. ICD9, ICD10, ATC, and SNOMED CT
- Experience with CDISC
Place of employment and work
The employment is at CPR (www.cpr.ku.dk), University of Copenhagen, located in central Copenhagen. The research environment at CPR is ambitious and international, with approx. 30 different nationalities currently represented. The Center comprises modern laboratories, supercomputer resources and state-of-the-art facilities within protein science. The Center organizes seminars with high-profile international speakers and regular internal research seminars. The selected candidate should expect some travel activity.
For more information on working and living in Denmark, visit www.ism.ku.dk (International staff mobility) and www.workingconditions.ku.dk.
Salary and terms of employment
The duration of the positions is three years. It is conditioned upon the candidates´ successful enrollment in the PhD programme. This requires submission and acceptance of an application for the specific project formulated by the candidate. The PhD study must be completed in accordance with The Ministerial Order on the PhD programme (2013) and the University’s rules on achieving the degree. Salary, pension and terms of employment are in accordance with the agree¬ment between the Ministry of Finance and The Danish Confederation of Professional Associations on Academics in the State. Depending on seniority, the monthly salary begins around 26,000 DKK (ca. 3.450 EUR) plus 17% pension.
The Danish Ministry of Finance and the Danish Confederation of Professional Associations (AC) have agreed on a protocol that makes it possible for all international researchers employed by the University to achieve a pension exemption, where the pension will be paid as salary. For more information about the different pension schemes: http://ism.ku.dk/onarrival/pension/
For further information, please contact Nanna Birch, firstname.lastname@example.org.
Your application must be submitted electronically by clicking ’Apply now’ below or via http://employment.ku.dk/faculty/
Your application should include the following documents:
1. Motivated letter of application
2. Curriculum vitae, incl. education and experience, publications (if any), language skills and other skills relevant for the position
3. A certified/signed copy of Master of Science certificate. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor will do
4. Names and contact details for two referees
Deadline for application: October 31th 2017
After the expiry of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Appointments Committee. All applicants are then immediately notified whether their application has been passed for assessment by an expert assessment committee. Selected applicants are notified of the composition of the committee and each applicant has the opportunity to comment on the part of the assessment that relates to the applicant him/herself.
Assessment: The selected applications will be assessed according to the Ministry Order on the Appointment of Academic Staff at Universities 2012 and the University of Copenhagen’s guidelines 2013. The Assessment Committee makes a non-prioritized assessment of the academic qualifications and experience with respect to the above mentioned area of research, techniques, skills and other requirements listed in the advertisement
You can read about the recruitment process at www.employment.ku.dk
CPR and the University of Copenhagen wish to reflect the diversity of society and welcome applications from all qualified candidates regardless of personal background.