Within the Chair group of Applied Statistics we have a vacancy for an lecturer in Applied Statistics and Research Methodology. We search an enthusiastic, skillful, and stimulating lecturer and coach in working groups and computer practical's. Your primary task will be lecturing basic and advanced statistics and research methodology to students from all disciplines of Wageningen University. You contribute to teaching and examining existing courses at bachelor's, master's and PhD level. In addition, you are expected to contribute to course evaluations and modifications, possibly leading to improvement and/or renewal of courses, in collaboration with colleagues within Biometris. The context of your work is highly international.

The ideal candidate:

• Has completed a PhD in the area of statistics and/or research methodology with possible publications in the area of study design, data collection and/or data analysis.
• Has a broad knowledge of research methodology, both quantitative and qualitative methods and techniques.
• Is an enthusiastic lecturer, who likes to teach statistics and research methodology to (international) students in a broad range of disciplines.
• Is a team-player who appreciates an international working and learning environment.
• Has good communication skills, both with students and colleagues.
• Is fluent in English and Dutch. This position requires an excellent English language proficiency (a mininum of CEFR C2 level). For more information about this proficiency level, please visit our special language page.

We offer a creative and inspiring working environment, with opportunities for self-development in the many aspects of statistics and research methodology covered by Biometris. Initially, the employment is temporary for a period of one year. This is a part time position (0.8 FTE), lecturer scale 3, Hayscale. The gross salary ranges from €3.637,- to € 4.978,- (Scale 11 VSNU) based on full time, i.e. 38 hours/week, depending on qualities and experience. We offer a holiday allowance of 8% and an end-of-the-year bonus of 8.3% of your annual salary.

Wageningen University & Research

The mission of Wageningen University & Research is "To explore the potential of nature to improve the quality of life". Within Wageningen University & Research, nine specialised research institutes from the Wageningen Research Foundation and Wageningen University have joined forces to help answer the most important questions in the domain of healthy food and living environment.

With approximately 30 locations, 5,000 employees, and 10,000 students, Wageningen University & Research is one of the leading organisations in its domain worldwide. An integrated approach to problems and the cooperation between various disciplines are at the heart of the unique approach of Wageningen.

For further information about working at Wageningen University & Research, take a look at thespecial career site.

Biometris is the central group for mathematics and statistics at Wageningen University and Research Centre. The group consists of about 75 people, 50 permanent staff and 25 PhDs and postdocs. Education and consultation are pivotal to the societal role of Biometris. Education is at the very heart of the university and Biometris provides BSc courses on statistics, mathematics and research methodology at Wageningen UR, as well as numerous other courses for MSc and PhD students, post-docs and industry. Biometris also provides statistical, mathematical and methodological consultancy and training to researchers inside and outside Wageningen UR.
Within Biometris we focus our research on the development of research methodology and on mathematical and statistical techniques that can be applied to the Life Sciences. Consequently, our research is done in collaboration with other research groups both in and outside Wageningen. In this way, we contribute to the scientific and societal impact of Wageningen UR.
Our research focusses on the themes of Methodology for Interdisciplinary Research, Statistical Genetics and Genomics, Systems Biology and Ecology, Food and Health Risk Assessment, and Big Data in Life Sciences. Our capital lies in the expertise of our employees. We therefore strive to keep our employees motivated and scientifically up-to-date and offer ample opportunities for personal development. For general information, see: www.biometris.wur.nl