Postdoc Position on Quantitative Genetics and Genomics Aarhus University Department of Bioscience Denmark

Postdoc Position on Quantitative Genetics and Genomics


Published15 May

Deadline16 Jun

Expected start1 Sep

  • Department of Molecular Biology and Genetics - Center for Quantitative Genetics and GenomicsBlichers Allé 208830 Tjele

  • Fixed term full-time position1 Sep 2019 - 31 Aug 2021ID: 1098


A postdoc position focusing on modeling quantitative traits in breeding programs intensively exploiting genomic information is available September 1st, 2019 at the Center for Quantitative Genetics and Genomics (QGG, http://qgg.au.dk/) at Aarhus University. The postdoc will develop models and methods to optimize genomic prediction and estimation of variance components including both genotyped and non-genotyped individuals and on optimum methods to handle genotype by environment interactions. Methods for model evaluation and models comparisons should be developed and implemented. In addition, methods for reducing bias and inflation in genomic prediction of breeding values should be studied. There is funding for 2 years of employment. In case further external funding is procured within the academic area the candidate is estimated obviously qualified for, an extension can be possible for up to a total maximum of 4 years employment as a post doc.


The position is related to collaborative projects with commercial breeding companies and with the goal of developing methods and models that can be implemented in practical applications. The candidate will work on the analysis of analysis of data from ongoing experiments, from ongoing commercial selection programs. Results and hypothesis will be verified using complex stochastic simulation models. The position provides excellent possibilities for access to state of the art tools for simulation and for the analysis of complex genomic large scale datasets, writing publications, collaboration industry partners as well as with other research groups.


Qualifications

  • Ph.D. or equivalent in animal breeding, quantitative genetics, quantitative genomics, statistics or related fields.

  • Strong interest in use of highly stochastic models for the analysis of phenotypic and genomic data.

  •  Proficiency in conducting large-scale computations.

  • Good understanding of methods used in genomic prediction and selection for using single step methods complex traits in commercial populations.

  • Understanding of commercial breeding programs.

  • Good skills in oral and written communication in English.

  • Ability to work in a large and diverse group of researchers, and collaborate with national and international partners form research and industry.
 

Place of work

The Center for Quantitative Genetics and Genomics (QGG) at Aarhus University (AU) is a major center for research and education in quantitative genetics, quantitative genomics, and breeding. It comprises more than 15 senior staff and a large group of PhDs and Post Docs. The center is part of the Department for Molecular Biology and Genetics and is located at the AU Foulum campus (for the locations of the department see http://mbg.au.dk/en/contact/how-to-find-the-department/).
 

Movement to the main campus in Aarhus is expected in 2020. QGG provides a very dynamic and internationally orientated environment with strong collaborations with relevant industrial partners and with several other leading international research groups in the research area.


Further information
For further information; please contact Professor Just Jensen, (Just.Jensen@agrsci.dk).
 

Application procedure
 

Shortlisting is used. This means that after the deadline for applications – and with the assistance from the assessment committee chairman, and the appointment committee if necessary, – the head of department selects the candidates to be evaluated. All applicants will be notified whether or not their applications have been sent to an expert assessment committee for evaluation. The selected applicants will be informed about the composition of the committee, and each applicant is given the opportunity to comment on the part of the assessment that concerns him/her self. Once the recruitment process is completed a final letter of rejection is sent to the deselected applicants, including the main considerations emphasized during the selection process.


Formalities and salary range


The application must be in English and include a curriculum vitae, degree certificate, a complete list of publications, a statement of future research plans and information about research activities, teaching portfolio and verified information on previous teaching experience (if any). Guidelines for applicants can be found here.


Appointment shall be in accordance with the collective labour agreement between the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information on qualification requirements and job content may be found in the Memorandum on Job Structure for Academic Staff at Danish Universities


Salary depends on seniority as agreed between the Danish Ministry of Finance and the Confederation of Professional Associations.


All interested candidates are encouraged to apply, regardless of their personal background. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants to specify periods of leave without research activities, in order to be able to subtract these periods from the span of the scientific career during the evaluation of scientific productivity.


Aarhus University offers a broad variety of services for international researchers and accompanying families, including relocation service and career counselling to expat partners. Read more here. Please find more information about entering and working in Denmark here.


Aarhus University also offers a Junior Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here.


The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.


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