PhD Candidate on workflow optimization in liver ablation therapy for patients with colorectal liver metastases

Updated: 4 months ago
Deadline: 07 Jun 2023

25 May 2023
Job Information

Maastricht University (UM)
Research Field

Researcher Profile

First Stage Researcher (R1)

Application Deadline

7 Jun 2023 - 21:59 (UTC)
Type of Contract

Job Status

Not Applicable
Hours Per Week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

For a project in Interventional Radiology (Maastricht University Medical Center), in close collaboration with the Department of Surgery (Maastricht University Medical Center) and Clinical Data Science (Maastricht University) we are looking for a clinically oriented PhD Candidate on workflow optimization in liver ablation therapy for patients with colorectal liver metastases.

Interventional oncology (IO) comprises of diverse minimal invasive, imaging guided techniques to treat different forms of cancer. Due to the shift from open to minimal invasive therapies and from generic to patient-optimized personalized treatment, (percutaneous) liver ablation, a minimal invasive alternative (or sometimes addition) to surgical resection, is becoming increasingly applied in the treatment of primary or secondary liver cancer.

Being part of an international research-collaboration (IMAGIO), our research-group was recently co-awarded a European Horizon grant. The collaboration, led by Philips Medical Systems, focusses on improving outcomes in cancer care with the application of minimal invasive therapies. Together with Philips and the Leiden University Medical Center we will lead a work package focusing on optimizing outcomes of (percutaneous) liver ablation.

In this position You will work on evaluating outcomes of liver ablative therapies by combining clinical and imaging characteristics, procedural (technical) aspects, and Artificial Intelligence/Machine Learning (AI/ML), in close collaboration with a PhD-student at the Maastricht University Clinical Data Science department, with deep technical knowledge in this field. You will also work on optimizing treatment planning, workflow optimization and needle guidance and evaluating these optimizations in diverse clinical studies.

Specific Requirements

We are looking for a team player who is enthusiastic about building AI/ML applications that translate into improving cancer care. We require a master’s degree (or equivalent) in a scientific discipline closely related to clinical data science and machine learning, with evidence of strong skills in the Python programming language.

Knowledge of the Dutch language is a plus but not a requirement, but you must be fluent in English, at least at the level of IELTS 7 or equivalent. You need to be able to prove excellent communication skills for academic publications and oral presentations, and also to make optimal use of technical and clinical expertise from your colleagues.

Additional Information

What we offer

  • We offer a 4-year full-time appointment as a PhD Candidate. The first year will be a probation period; after a positive assessment, the position will be extended for another 3 years.  
  • Remuneration will be according to standard salary levels for PhD students starting with a salary of € 2.541 with a yearly growth to € 3.247 gross a month (based on a full-time appointment).
  • In addition to the salary, we offer an 8% holiday allowance and an 8.3% end-of-year bonus;
  • We offer an attractive package of fringe benefits such as a reduction on collective health insurance, substantial leave arrangements, an optional model for designing a personalized benefits package, sports facilities that staff may use at a modest charge, and application for attractive fiscal arrangements for employees from abroad.
  • You have to be willing to move to (the vicinity of) Maastricht. If you do not already live in Maastricht (or its direct surroundings), you will be eligible for an allowance for moving costs and relocation reimbursement.

The terms of employment at Maastricht University are largely set out in the Collective Bargaining Agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, consult the website > About UM > Working at UM.

Selection process

You can respond to this vacancy by sending your motivation letter and CV (as pdf file), stating the vacancy number AT2023.241, by email to:

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.

Please note, the system cannot upload the following attachments ( .htm .html).

Additional comments

For further information about this position please contact dr. Christiaan van der Leij (interventional radiologist, ) dr. Ronald van Dam (Surgeon Oncologist, ). You can find general information about the clinical/research groups at

Interested in this position? You can apply until 7 June by uploading your motivation letter and CV at the bottom of this Academic Transfer page.

Website for additional job details

Work Location(s)
Number of offers available
Maastricht University
Postal Code
6229 ER
Universiteitssingel 40

Where to apply



Minderbroedersberg 4
Postal Code

6211 LK

View or Apply

Similar Positions