PhD Candidate ML/AI solutions for workflow optimization in liver ablation therapy for patients with colorectal liver metastases.

25 May 2023
Job Information

Organisation/Company

Maastricht University (UM)

Research Field

Technology

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

7 Jun 2023 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

38.0

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?

No

Offer Description

For a jointly supervised PhD position between Interventional Radiology (Maastricht University Medical Center) and Clinical Data Science (Maastricht University) we are looking for a technically oriented PhD Candiate on the development of ML/AI solutions for 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 addition) to surgical resection, is becoming increasingly applied in the treatment of 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 (LUMC) we will lead a work package focusing on optimizing outcomes of (percutaneous) liver ablation.

In this position you will develop yourself to become an AI/ML specialist who is able to contribute to meaningful clinical problems by creating useful AI/ML-supported solutions. You will collaborate with a clinical PhD working on the same project. You will be part of a large and rapidly expanding team of AI researchers at the Clinical Data Science department. You will be expected to collaborate closely with interventional radiologists and surgical oncologists of Maastricht University Medical Center (MUMC).

Requirements
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
Benefits

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 www.maastrichtuniversity.nl > 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 AT2023.240, by email to:
[email protected]

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.

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Additional comments

For further information about this position please contact dr. Ralph Brecheisen (clinical data scientist, [email protected] ) and dr. Christiaan van der Leij (interventional radiologist, [email protected] ).

You can find general information about the clinical/research groups at https://maastro.nl/research/data-science/ and https://www.mumc.nl/patient-bezoeker/specialismen-afdelingen/radiologie/specialisten

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

https://www.academictransfer.com/328274/

Work Location(s)

Number of offers available

1

Company/Institute

Maastricht University

Country

Netherlands

City

Maastricht

Postal Code

6229 ER

Street

Universiteitssingel 40

Where to apply

Website

https://www.academictransfer.com/328274/phd-candidate-mlai-solutions-for-workfl…

Contact

City

Maastricht

Website

http://www.maastrichtuniversity.nl/

Street

Minderbroedersberg 4

Postal Code

6211 LK

STATUS: EXPIRED