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IT specialist

Department of Agroecology is looking for an IT specialist with expertise in data management, analysis and visualization of comprehensive and complex data 870736.

Several research activities in Department of Agroecology generate comprehensive and complex datasets that need to be effectively stored, analysed and linked to various types of models. We use MS SQL databases and servers, Microsoft .NET, Matlab, C#, C++ and R-based tools for the management and analysis of these data, and their integration into modelling and dissemination platforms. You will be a part of a team responsible for data storage, management, analysis and visualization of these data. 

Main tasks will include but not be limited to: 

  • Further develop our Shiny-R based platforms for population genetics analysis.
  • Use R-based tools for spatial and predictive modelling using diverse and complex data sources.
  • Database management and development of interfaces to GIS and web-based applications. 
  • Developing, controlling and maintaining models created in C#, C++ and Microsoft Visual Studios .NET. 
  • Development and maintenance of technical documentation. 
  • Debugging of software applications. 
  • Getting different models to work together (model linkage). 
  • Technical support for users of the models and databases. 
     

Minimum requirements 

  • Relevant education within software development, programming and IT. 
  • Relevant professional experience.
  • Expert knowledge of R, C# and C++. 
  • Fluency in English, orally and written, and good writing and communication skills. 
  • Good organisational skills and ability to meet deadlines and handle multiple tasks daily. 
  • Service minded. 
  • Able to work result-oriented towards agreed goals and objectives. 
     

Preferable qualifications 

  • Experience in programming for web-based statistical applications and data visualization tools. In particular, experience in developing and deploying Shiny applications. 
  • Experience with other scientific computer languages such as MATLAB.
  • Knowledge and interest in web-based communication.
  • Knowledge of research and exposure to research environment.
  • Knowledge of principles of field experimental setup and related statistics.
  • Knowledge of UNIX environment. 
  • Experience in computational statistics and with a broad variety of statistical methods and for varied data sources.
  • Practical experience with predictive modelling using state-space models. 
  • Relevant experience with large models especially ecosystem models.
     

Place of Work and area of Employment 

The place of work is Blichers Allé 20, DK-8830 Tjele, and the area of employment is Aarhus University with related departments. 

For more information, please contact section leader Jørgen E. Olesen via +45 40 82 16 59. 

You can read more about the Department of Agroecology at http://agro.au.dk/en/.

Formalities and salary range 

The employment will be in accordance with the collective agreement for academics employed by the state as well as audit report on certain conditions of employment for academic staff at universities or to the collective agreement concluded between the Danish Ministry of Finance and the trade union PROSA for IT professionals in government service and the joint collective agreement between the Confederation of Teacher's Unions and the Danish Ministry of Finance and the Danish Confederation of Public Employees of 2010 (the LC/CO10-joint collective agreement).

All interested candidates are encouraged to apply, regardless of their personal background.

Deadline

All applications must be made online and received by 07.12.2016.


Aarhus University is a modern, academically diverse and research-intensive university with a strong commitment to high-quality research and education and the development of society nationally and globally. The university offers an inspiring research and teaching environment to its 42,500 students and 11,500 employees, and has an annual budget of EUR 840 million. Over the course of the past decade, the university has consolidated its position in the top 100 on the most influential rankings of universities world-wide. Learn more at www.au.dk/en.

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Arbejdssted

Location Tjele

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