Data Science Research Engineer: Chalmers University of Technology – Sweden

Chalmers University of Technology
Data Science Research Engineer
Study in:Sweden
18 days
Deadline: 31 December 2017

Data Science Research Engineer: Chalmers University of Technology – Sweden: The Department of Computer Science and Engineering is a joint department at Chalmers University of Technology and the University of Gothenburg, with activities on two campuses in the city of Gothenburg. The department has around 240 employees from over 30 countries. Our research has a wide span, from theoretical foundations to applied systems development. We provide high quality education at Bachelor’s, Master’s and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia, industry and society.

Information about the research
Data driven research is becoming increasingly important for the research activities at Chalmers. To extract valuable patterns from big data and meet the related challenges, Chalmers has started an expert group collaborating with various research projects. We are now recruiting another research engineer to the group. As a Data Science Research Engineer you will be contributing to the unit of Data Science Research Engineers in the Department of Computer Science and Engineering, and you will be working in direct contact with one or more research projects within Chalmers.

The unit of Data Science Research Engineers is being implemented as a joint project among the Chalmers Areas of Advance: The Areas of Advance are platforms that offer common access to cutting edge research infrastructures and interdisciplinary research challenges, often directly relevant for industry and society. We are working with big data from various sources, coming from both the natural sciences as well as digital platforms across society.

Job description
The Data Science Research Engineers are, based on their specific profiles, working in close collaboration to one or more research groups developing tools and analysis methods for data driven research activities. The aim is to develop and implement new scientific data analyses in existing platforms or in some cases develop a data analysis infrastructure from the ground up. You will get to work with a broad spectrum of different types of data, and be an essential part of the process of finding new scientific insights. Part of the time will be set aside to learn new methods and establish general competencies in Data Science for yourself and for the group.

The competencies sought are specifically machine learning and statistics applied to large and complex data sets, but you are also expected to learn and apply tools and methods from a range of other data science related areas, e.g., data mining, information visualization, and data management. This is done in a team of research engineers with similar roles. We collaborate internally as well as with research groups to discuss, implement, evaluate, and communicate our results.

The position is a full-time employment. You will be located together with the rest of the group at the Computer Science and Engineering Department.

Position summary
The position is a full-time permanent employment.

A minimum of Master-level education in computer science, mathematics or mathematical statistics is expected, but other educational backgrounds may be suitable depending on the specific skills and experience of the applicant. Documented experience in previously applying some of the skills outlined above, as well as software development in general is expected and proficiency in programming and scripting languages needs to be demonstrated. Good communication and collaborative skills are essential.

We are also considering candidates holding a PhD degree in the relevant fields of research. Some project oriented leadership experience is meriting.

Domain specific experience in relation to the different Areas of Advance is considered positive but is not essential. Candidates with a strong domain specific background with capability and a motivation to develop a data science career in an academic environment are welcome.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Name, Ref 20170558 and be attached as PDF files, as below:


Personal letter
• 1-2 pages

Other documents (optional):
• Copies of completed education, grades etc. Two references that we can contact should be provided at a possible interview.

Please use the button at the bottom of the page to reach the application form.

Application deadline: 31 December, 2017

For questions, please contact:
Dr. Vilhelm Verendel, Department of Computer Science and Engineering
E-mail:, phone: +46 31 772 8120

Head of administration Sanna Erling Almér, Computer Science and Engineering
E-mail:, phone: +46 31-772 2964

*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
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