PhD in Visual Analytics for Prescriptive Data Analysis

PhD in Visual Analytics for Prescriptive Data Analysis

Published Deadline Location
4 Sep 30 Oct Eindhoven

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We are looking for a motivated Ph.D. candidate who wants to develop exciting visual analytics tools and techniques to develop the concept of prescriptive visual analytics.

Job description

Advancing predictive analytics, which aims to answer the questions "What will happen?" and "Why will it happen?", prescriptive analytics focuses on transforming prediction insights into actionable recommendations to answer the questions "What should be done?" and "Why should it be done?". The core of prescriptive analytics involves different concepts, ranging from interpretable prediction models to optimization approaches to suggest the best actions based on a prediction and illustrate each action's implications into the predicted outcome.

In this project, the candidate will work to develop new visual analytics and visualization solutions that support the investigation and understanding of a prediction and allow for the representation of multiple actionable choices and their implications. The candidate will work on cutting-edge topics such as model interpretability and explainability, explainable machine learning visualization, intelligent agents, and predictive visual analytics, helping to reduce existing barriers and increase trust in the analytical process.

The candidate is expected to author high-quality scientific papers and showcase the outputs of this work at international conferences. The position will be with the Visualization cluster of the TU Eindhoven under the supervision of Dr. Fernando Paulovich. Opportunities for externships with international collaborators are also possible.

The visualization cluster ( at TU/e has a strong track record in visualization and visual analytics for ML models and high-dimensional data. It has generated several award-winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); several successful start-up companies (MagnaView, Process Gold, and SynerScope); and several techniques that are used on a large scale worldwide.


Eindhoven University of Technology (TU/e)


We are looking for a candidate who meets the following requirements:
  • -MSc degree in computer science, computer engineering, or similar.
  • Strong programming skills (e.g., Python, Javascript, etc.).
  • Good communication skills and excellent command of English (Dutch is not required, although willingness to learn is highly appreciated).
  • Capability and willingness to work independently and in an interdisciplinary team.
  • Self-motivated, enthusiastic, proactive, goal-oriented, and persistent.
  • A solid background in visualization, visual analytics, machine learning, and explainable AI, with strong mathematical affinity.
  • Publications in top-tier conferences and journals of visualization will be considered additional advantages.

Conditions of employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
  • Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. €2,770 max. €3,539).
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.
  • A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.


  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V32.6877


Eindhoven University of Technology (TU/e)

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De Rondom 70, 5612 AP, Eindhoven

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