Data scientist (0.8-1.0 FTE)
Center for Information Technology
University of Groningen
Help us bring more data science to all university research disciplines and join our team. You get to help biologists use CNN's on their microscopy data, use BERT to analyse tweets of politicians, or assist radiologists by segmenting their medical images. In short, you get to do what you think works best to help our (inter)national researchers.
Who are we?
The University of Groningen is one of the top European research universities. It is internationally oriented and socially responsible organization. It is a platform for researchers and teachers from a multitude of fields to share their passion and expertise. Both students and the university staff are stimulated to grow, develop their talents, follow their ambitions, and to give the best of their ability. The Center for Information Technology (CIT) of the University of Groningen is a leading national and European expertise center in the field of information and communication technology (ICT). With around 250 employees, CIT manages the necessary facilities and supporting processes for approximately 31,000 students and 5,600 employees. The CIT is a partner in projects at a regional and (inter)national level in many disciplines, like astronomy, life sciences, digital humanities, energy, health and more. Data science and artificial intelligence will be important topics at the University of Groningen for the upcoming years.
Our core values are respect, collegiality, together, fun, openness and commitment.
Scientists from all disciplines are eager to get involved in data science. Therefore, our Data Science team has grown tremendously in the last three years. New advances in deep neural networks, but also
well-established machine learning and statistical techniques, open up questions that researchers without knowledge of TensorFlow, scikit-learn, R, and other tools cannot answer, even though they have collected interesting data. Besides supporting scientific research, a smaller part of our tasks include teaching professionals and students. Our courses are often graded above 9 out of 10. You would join our team of 10 members with backgrounds in machine learning, statistics, computer vision, business development, psychology and economics.
● (statistical) data analysis
● apply machine-learning techniques on visual, textual, tabular, or other types of data
● data visualisation
● presenting and reporting (preliminary) results
● data harvesting and enriching
● consultancy (e.g. fine-tuning research proposals).
● BSc level, obtained through education, training and/or experience
● experience in statistical analysis and data handling
● knowledge of machine-learning algorithms
● experience in writing programme code
● ability to work both independently and in multidisciplinary teams
● strong communication skills, both verbal and written
● a good command of English
● several years of working experience as a data scientist (or in a closely related field).
A practical test will be part of the selection procedure.
At least several of these additional qualifications:
● experience in Python and/or R
● experience in relevant libraries, like scikit-learn, TensorFlow, Keras and/or other deep learning frameworks
● experience in data visualisation
● experience in computer vision techniques
● experience in Natural Language Processing
● understanding of (deep) neural networks
● scientific knowledge in a relevant domain
● teaching skills.
Conditions of employment
Contract length: 12 maanden.We offer you in accordance with the Collective Labour Agreement for Dutch Universities:
- a salary based on the experience and education level of the candidate between € 2,709 (salary scale 10) and € 4,978 (scale 11) gross per month by a full-time appointment
- a holiday allowance of 8% and an 8.3% year-end bonus
- 232 holiday hours per calendar year for a full-time employment and participation in a pension scheme for employees
- a temporary position for a period of 1 year, with the prospect of extension.
Do you meet our qualification criteria? If yes, your application in Dutch or English should include:
- cover letter
You can submit your application until 17 November 11.59pm / before 18 November 2019 Dutch local time (CET) by means of the application form (click on "Apply" below on the advertisement on the university website).
We are an equal opportunity employer and value diversity at our University. We are committed to building a diverse faculty so you are encouraged to apply. Our selection procedure follows the guidelines of the Recruitment code (NVP), https://nvp-plaza.nl/download/?id=7714 and European Commission's European Code of Conduct for recruitment of researchers, https://euraxess.ec.europa.eu/jobs/charter/code
Interviews will be scheduled for Friday 29 November 2019.
Unsolicited marketing is not appreciated.
For additional information, please contact:
Team Data Science
In your application, please always include the job opening ID 219504