Assistant/Associate Professor Artificial Intelligence in Medical Image Analysis

Dep. Biomedical Engineering looks to welcome a new faculty member on the topic of artificial intelligence in medical image analysis. The position is ideally at the tenured level (assistant or associate professor), but is open also for a tenure track position (with adjusted requirements).

Position

Assistant Professor, Associate Professor

Department(s)

Biomedical Engineering

Reference number

V50.5163

Medical Image Analysis group

The Medical Image Analysis Group , led by Prof. Josien Pluim, aims to create solutions that helpsupport diagnosis, prognosis and image-guided treatment in clinical care. The group's researchincludes applied as well as methodological innovations to advance analysis of medicalimages. The research has a strong focus on machine and deep learning. The group is internationally competitive in the field of medical imaging.

The current faculty of the group cover a range of research areas, including image analysis andquantification for cardiology, neurology and oncology. More specifically, the group is known for itswork in the field of computational pathology. Another a strong line is on MR imageanalysis and RF safety through collaborations with Philips and with the University Medical CenterUtrecht. A third key focus is on AI-based image guidance of therapies (radiotherapy with the novel MR-linacsystem, robot-assisted surgery).

Continued advancement of methodology is crucial and all faculty work on methodological innovationin parallel to their applied focus. Examples include deep learning methods for image synthesis anddeformable image registration.

The group is involved in EAISI , TU/e's cross-departmental institute for Artificial Intelligence, and inseveral national and international AI consortia. Research is performed in direct collaboration withclinical partners. Furthermore, industrial partners closely participate in a large percentage of theprojects.

The educational curriculum of the group concerns machine learning and medical imaging at thebachelor and master level for students of the Department of Biomedical E ngineering. Moreover, ajoint master track in medical imaging was initiated together with the Center for Image Sciences atthe University Medical Center Utrecht.

Collaborations and opportunities

The medical imaging field in the Netherlands is extensive and internationally leading. The MedicalImage Analysis group at TU/e is positioned well within the Dutch landscape, with good connectionsto the other groups. We are a partner in large national research consortia, but also participate invarious international networks.

In the Department of Biomedical Engineering, imaging and AI are topics of common interest acrossresearch groups, as for instance in ultrasound imaging and systems biology. Within TU/e,collaborations exist with the Department of Electrical Engineering, on for example neuroimaging,and with the Department of Mathematics and Computer Science, on methodological advancementsof AI.

You have proven expertise in machine/deep learning and preferably a strong track record in medical imaging. Faculty in the department is expected and supported to have their own research line, independent of but closely related to those of other faculty. The vacancy is positioned within the Medical Image Analysis group, but the position may evolve into an independent one in future.

Your research line complements the current strengths of the group and the department. To give you an impression, your line could be focused on methodologically oriented innovation in AI. Some of the challenges that currently hamper application of AI in routine clinical care include explainable AI, analysis of input data from very different sources (e.g. the combination of imaging, genetic information and patient metadata) and the integration of prior (model) knowledge. A more application-oriented AI line of research, on the other hand, could cover analysis of MR images or image analysis for oncology, pediatrics or any of the collaborative topics within BmE/TUe. Note that the list is not exhaustive and other research profiles will be considered.

You have an affinity with teaching and enjoy training the young generation of professionals. Around 30 enthusiastic master students join the group each year, performing research projects, often with our clinical/industrial partners. Many of these projects result in publications.

Specific requirements:

• A PhD degree in a relevant field.
• Research experience and strong output in (medical) image analysis.
• Proven ability to acquire (inter)national funding.
• Excellent communication, organization, and leadership skills demonstrating the potential of building your own research team.
• International recognition by peers, as demonstrated e.g. by invitations, awards, committee memberships.
• Good academic, clinical and/or industrial network; proven by joint collaborations, projects, and publications.
• Experience in supervision of (PhD) students.
• Ability to teach, shown by UTQ, experience in teaching and positive evaluations of these teaching efforts.
• Excellent proficiency (written and oral) in English.  

• A meaningful job in a dynamic and ambitious university with the autonomy to develop/continue your own research line and participate in the curriculum of the department.
• You will have free access to high-quality training programs for academic leadership, the university teaching qualification program, research and valorization competences, and a dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• Salary and benefits are in accordance with the Collective Labor Agreement for Dutch Universities: see here .
• If applicable, a Tenure Track of five years leading to a senior Assistant Professorship, with the prospect of becoming Associate Professor. After a maximum of four years the tenure decision will be made.
• Additionally, an annual holiday allowance of 8% of the yearly salary, plus a year-end allowance of 8.3% of the annual salary.
• A broad package of fringe benefits, including an excellent technical infrastructure, moving expenses, and savings schemes.
• Family-friendly initiatives are in place, such as the Dual Career Opportunity program to support accompanying partners, an international spouse program, and excellent on-campus children day care and sports facilities.

Questions regarding the academic contents of the position can be directed to
prof. Josien Pluim, j.pluim[at]tue.nl.

For information about terms of employment, please click here  or contact Sascha Sanchez van Oort, HR Advisor, s.j.m.g.sanchez.van.oort[at]tue.nl or +31 40 247 7310.

Are you inspired to know more about working at TU/e? Please visit www.tue.nl/jobs .

Application

We invite you to submit a complete application by using the 'apply now'-button on this page. The application should include a:

• Concise cover letter in which you describe your motivation, research interests and qualifications for the position.
• Curriculum vitae, including a list of your publications (or link to).
• The contact information of three references.
• List of up to five self-selected most important publications.

We do not respond to applications that are sent to us in a different way.

Please keep in mind you can upload only 5 documents up to 2 MB each. If necessary, please combine files.

We look forward to your application and will evaluate it upon receipt. Screening will continue until the position has been filled.