PhD Student at TRI-DSA

PhD Student at TRI-DSA

Published Deadline Location
31 Oct 4 Dec Eindhoven

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Job description

In July 2021, the department of mathematics and computer science (M&CS) of the Eindhoven University (TU/e) initiated the Teaching and Research Institute for Data Science Analytics
(TRI-DSA). Researchers working at TRI-DSA collaborate with professionals and researchers from internal and external organizations and companies on challenging data science problems. The goal of TRI-DSA is to deliver trustworthy and state-of-the-art data science analytics to society through contract research, research support, professional courses & workshops, and the development of (user-friendly) software. The current focus of TRI-DSA is on data science analytics for health and life sciences and for spatial and temporal data. TRI-DSA has several interesting ongoing collaborations (with e.g., pharma, hospitals, registries, eMTIC, ICMS) and is in need of PhD students to support the activities of TRI-DSA. 

The PhD candidate should be interested in 
  • developing and improving data science analytics for real applications and data,
  • collaboration with non-data science researchers from the TRI-DSA collaborators,
  • supporting the professional education activities of TRI-DSA.

The PhD candidate has the knowledge and skills to be working on innovative data science analytics in a dynamical and multi-disciplinary environment. An important aspect of the research is that it is implemented or implementation ready at the external organizations and companies working with TRI-DSA. An important element of the research is the validation of the novel or improved data science analytics. The PhD candidate will be supervised and working with the researchers and collaborators of TRI-DSA.

Specifications

Eindhoven University of Technology (TU/e)

Requirements

  • Master's in data science, computer science, or mathematics (or equivalently)
  • Experience in conducting data science projects 
  • Affinity with applied statistical science 
  • Strong programming and software skills for data science analytics (python, R, SAS)
  • A customer or service oriented attitude 
  • Ability to work in a dynamic and multi-disciplinary environment  

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.
  • 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.

Specifications

  • PhD
  • Engineering
  • max. 38 hours per week
  • University graduate
  • V32.6047

Employer

Eindhoven University of Technology (TU/e)

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Location

De Rondom 70, 5612 AP, Eindhoven

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