Doctoral fellow

Last application date
Feb 22, 2021 00:00
LA26 - Department of Data Analysis and Mathematical Modelling
Limited duration
MSc in (bio)statistics, computer science engineering, mathematics, bioscience engineering
Occupancy rate
Vacancy type
Research staff

Job description

The BIOSTAT research group of the Faculty of Bioscience Engineering at Ghent University has a vacancy for a PhD student to perform research in the field of statistics. The research group is part of the Department of Data analysis and Mathematical Modelling and has a broad expertise in the theory and methods of statistical data analysis and its applications in the field of bioscience engineering (

We are searching for a candidate with a background in statistics and/or computer science. The candidate will perform academic research in preparation of a doctoral dissertation. The subject will deal with the development of optimal designs for data collection of spatial(-temporal) data. In various life science applications, the acquisition of data can be labor intensive or costly such that in practice one is interested in an efficient design of data collection, e.g. for the acquisition of species observations to model species distribution or for the acquisition of weather observations for the study of climate extremes.

The research work will encompass the development of novel methods and computational algorithms as well as the application and validation of them on real world data.

You will need to write down the results in scientific articles and a PhD thesis.

Additionally, you will assist in teaching activities of the courses in statistics or the preparation of research proposals (max. 20%).

The exact start date of the position is negotiable, preferably as soon as possible but no later than 01/08/2021.


  • We offer a position for 1 year. In case of positive annual evaluations, the position can be extended up to a maximum of 4 years.
  • An exciting research environment, working on the intersection between theory and application in the multi-disciplinary research environment of the Faculty of Bioscience Engineering at Ghent University.
  • A Ph.D. title in Bioscience Engineering (after approximately 4 years of successful research).
  • The possibility to participate in international conferences and collaborations.

Job profile

  • You have a relevant academic master's degree ((bio)statistics, computer science, mathematics, bioscience engineering, or a closely related field) with excellent grades (“distinction” on average). Candidates that will graduate soon (before the ultimate starting date 01/08/2021) are also encouraged to apply.
  • You are interested in the theory of statistics and data analysis, as well as practical applications. Background or experience in computational statistics and spatial(-temporal) modelling is an asset but not necessary.
  • You have some background in scientific programming. Knowledge of the languages R and/or Python is preferred but not necessary.
  • You take initiative in searching for new research ideas.
  • You are not afraid to be critical about your own work.
  • You are interested in obtaining a PhD degree in Bioscience Engineering.
  • Highly motivated, hardworking, flexible, able to face complex issues and you have an appropriate problem-solving attitude.
  • Able to take on responsibilities, work independently but also as part of an interdisciplinary research team.
  • You have mastered the English language, both in writing skills and oral presentations.
  • Strong communication and interpersonal skills.

How to apply


Apply by e-mail to before the application deadline (see above). We do not accept late applications or applications that are not complete.

Your application must include the following documents:

  • Professional resume (CV) named as: CV_”family name”
  • Motivation letter named as: MotivationLetter_”Family name”
  • Diploma and transcripts of records (BSc and MSc) named as: Transcripts_”family name”
  • Full contact details (Name, address, telephone & email) of at least 1 professional referee.


For more information about this vacancy, please contact Nathalie Detremmerie, Department secretary of the Department of Data Analysis and Mathematical Modelling (