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Phd position: Applying AI for decreased scan time in prostate cancer MRI

Job description

For a project called fastMRI in collaboration with the University Medical Centre Groningen, RadboudUMC and Siemens Healthineers, we are looking for a highly motivated, creative, and enthusiastic researcher who is driven by curiosity to fill a PhD position.

MRI scanners are widely used for the diagnosis of various diseases or for more novel applications like guiding minimal invasive therapeutic interventions. Advantages of MRI are being able to detect a disease while at the same time guiding therapies, which enables maximum disease treatment coverage while keeping unwanted side effects to a minimum. In the fastMRI project we will be investigating speeding up MRI in prostate cancer (PCa) diagnosis and interventions. National and European guidelines have recently changed and recommend MRI as first-line diagnostic work up in all patients suspected of PCa. MRI is also expected to be more intensively used for surveillance in the setting of a watchful waiting strategy, in order to avoid overtreatment of PCa. Consequently, the number of MRI scans and associated cumulative costs will substantially increase. Therefore, new artificial intelligence (AI) techniques will be developed that will make MRI for the diagnosis and interventions in PCa targeted, and thereby faster and more accurate. Innovative harmoniously operating AI techniques will be developed for this purpose: detection, reconstruction, and steering AI, together with corresponding MRI sequence development.

The main objective of this PhD within the project is developing the fundamentals for fast MRI sequences with the input of AI strategies. There will be a close collaboration with employees from Siemens Healthineers to ensure a direct implementation of these complex methods. This will ultimately lead to fast and efficient MRI diagnostics and MRI guided interventions. During this work you’ll also work with clinicians and researchers in the field of PCa, MRI and AI. You will publish in international refereed journals and present your work at scientific conferences. The collaboration project is co-funded by the PPP Allowance made available by Health~Holland, Top Sector Life Sciences & Health, to stimulate public-private partnerships.

Your profile

We are looking for a highly motivated, creative, and enthusiastic researcher who is driven by curiosity and has – or will shortly acquire – an MSc degree in biomedical engineering, applied mathematics, applied physics, computer science, technical medicine, or a related field. The ideal candidate has clear affinity with cutting edge imaging technology and clinical applications. Solid experience with programming and knowledge of MRI physics is essential and should be evident from (online) courses the candidate has followed and projects undertaken. Experience with machine learning models such as convolutional neural networks is a plus. The candidate should have the ambition to push the boundaries of the medical field, the ability to translate complex theories into practical applications and the academic skills to turn resulting findings into scientific papers.

Our offer

We offer a very challenging fulltime position in an inspiring multidisciplinary and international environment. The university offers a dynamic ecosystem with enthusiastic colleagues.

Salary and conditions are in accordance with the collective labor agreement for Dutch universities (CAO-VSNU).

  • We provide a stimulating, modern research environment with world-class research facilities
  • A starting salary of € 2.434 gross per month in the first year and increasing to € 3.111 gross per month in the fourth year
  • An annual holiday allowance of 8% of the gross annual salary, and an annual year-end bonus of 8.3%, a solid pension scheme and a minimum of 29 leave days in case of full-time employment
  • We provide excellent mentorship and a stimulating research environment to accelerate your further professional and personal growth
  • The University of Twente is situated on a green and lively campus with lots of facilities for sports and other activities

Information and application

Please send your application before November 1st  via the 'Apply now' button, and include:

  • Your Curriculum Vitae.
  • A cover letter
  • Two references we might contact.

You are welcome to contact Frank Simonis (f.f.j.simonis@utwente.nl) for any questions you might have.

We are an equal opportunity employer and value diversity and inclusion at our University. We encourage applications from all sections of society.

About the department

The TechMed Centre of the University of Twente houses several clinical environments for research, development and education that are flexibly extendable with additional clinical equipment, simulators and phantoms. It is equipped with state-of-the-art infrastructure, ranging from research labs, preclinical testbeds to simulated hospital environments. TechMed is particularly active in the area of imaging and diagnostics, biorobotics, medical physiology, innovative bioengineering technologies, and the assessment of the effectiveness of personalized health technologies. The imaging labs are equipped with several clinical imaging devices including two MRI systems: 0.25T (for imaging in vertical in supine position), and a 1.5T clinical MRI.

About the organization

TNW Faculty (Faculty of Science & Technology)

The Faculty of Science & Technology (Technische Natuurwetenschappen, TNW) engages some 700 staff members and 2000 students in education and research on the cutting edge of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally and is strengthened by the many young researchers working on innovative projects with as doctoral candidates and post-docs. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

University of Twente (UT)

University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.

As an employer, University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions.

Phd position: Applying AI for decreased scan time in prostate cancer MRI
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