Postdoctoral position in the TACTICS project

Postdoctoral position in the TACTICS project

Published Deadline Location
23 Mar 22 Jul Eindhoven

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We are looking for an enthusiastic candidate with a PhD in computer science or artificial intelligence for a postdoctoral position in the TACTICS project. Experience with data analysis techniques and preferably also with process mining and/or data mining is required. Knowledge of Dutch is a pre.

Job description

The TACTICS project is a collaboration between the University of Utrecht (UU), the Technical University of Eindhoven (TU/e) and Lunet zorg. Lunet zorg is a provider of care for clients with mental and/or physical disabilities in the Eindhoven region. The organization is becoming increasingly aware that the collected data can be used to drive a continuous improvement process. The TACTICS project (Techniques for the Analysis of Client-Time lnteraCtionS) focuses on developing automated techniques to gain insight into the development (progress/regression) of clients receiving health care, as well as the impact of the care professionals' activities on clients. Lunet zorg expects that the results can be used to support the executing teams in their daily work by providing relevant and understandable information, enabling them to make the right decisions for the team and a continuous improvement of the care for the clients.

We expect the post-doc to be able to combine techniques from the disciplines of data analytics, process mining, and business processes. Close collaboration with Lunet zorg, a Dutch care organization, ensures that the research team can use operational data and the necessary social medical expertise is available. This is an excellent opportunity to work on an innovative project and make a real impact in the healthcare sector.

You will be joining the Process Analytics group ofTU Eindhoven. See https://pa.win.tue.nl/ for more information about the group.

Specifications

Eindhoven University of Technology (TU/e)

Requirements

  • PhD in Computer Science, Artificial Intelligence or a related field
  • Ability to conduct high quality academic research, reflected in publications
  • Implementation skills for translating ideas into research prototypes
  • Experience in one or more of the following fields: data analytics, process mining, data mining Knowledge of Dutch is an advantage
  • Proficiency in English
  • Good communication skills

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 26 months.
  • Salary in accordance with the Collective Labour Agreement for Dutch Universities,
    scale 10.
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs on general skills, didactics and topics related to research and valorization.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • Partially paid parental leave and an allowance for commuting, working from home and internet costs.
  • A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
  • A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

Specifications

  • Postdoc
  • Engineering; Behaviour and society; Health; Natural sciences
  • max. 38 hours per week
  • Doctorate
  • V32.6500

Employer

Eindhoven University of Technology (TU/e)

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Location

De Rondom 70, 5612 AP, Eindhoven

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