PhD position on a Virtual Bone Morphology Processing Platform for Orthopedic Applications

Updated: 3 months ago
Deadline: 12 Oct 2023 - 21:59 (UTC)

6 Sep 2023
Job Information

University of Twente (UT)
Research Field

Researcher Profile

First Stage Researcher (R1)

Application Deadline

12 Oct 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

Do you want to make a substantial and lasting contribution to the orthopedic and biomedical device research community? Then we have something for you!

The Department of Biomechanical Engineering in the Faculty of Engineering Technology (ET) at the human-tech oriented University of Twente is seeking a highly motivated PhD candidate to join us for a full-time, fully funded, 4-year project on the development of an open-access virtual medical image platform to extract, enrich, and provide bone morphology data for orthopedic researchers and applications. You will be supervised by the energetic and ambitious Biomedical Device Design & Production team.

The Challenge

Knowledge about the individual bone morphology plays a key role in the new generation of innovative personalized biomedical products and treatments. Bone morphology can be used to answer research questions, such as quantifying the progression of degenerative diseases; analyzing gender, age, and ethnic differences within a population; or building a digital twin model to aid in anatomic reconstruction, and direct design applications of implants and prostheses. Despite the need, such data are rarely available. The reasons are manifold: the access to large numbers of medical image data is limited, implementation of image processing strategies is challenging, data are collected only for isolated questions or applications, and legal uncertainties play a role with respect to privacy and conflicting economic interests. In addition, knowledge from a variety of disciplines is required.


The PhD’s objective is to develop the contours and pilot work of an open-access virtual processing platform for uploading, processing, enriching, and storing medical image data in order to provide a large number of fully processed bone morphology data to various research communities. Thereto, an overview is made of running initiatives; and pros and cons are evaluated. Optionally, we will team up with these initiatives. The PhD develops robust (semi-) automatic segmentation and processing methods applicable to different bony structures. We demonstrate the benefit and potential of such a virtual platform by selected use cases in the orthopaedic domain, e.g. joint replacement. Our ambition is to evolve the PhD candidate’s work into an open-access and sustainable platform, which can be operated and used in the long term to provide and enable for future research.

Specific Requirements
  • You have, or will shortly acquire, a master’s degree in Computer science, Software Engineering, Medical Informatics, Electrical Engineering, Vision Robotics, or equivalent
  • You have profound knowledge and skills in medical image segmentation, image processing, and statistical shape modelling
  • You have excellent experience in software design and Python programming
  • You have affinity with medical applications and device design and are willing to dive deeper into these topics
  • You have good team spirit and like to work in an interdisciplinary and internationally oriented environment
  • You are fluent in English, both spoken and written, and have strong analytical and organizational skills

Additional Information

We offer a very stimulating position in a dynamic and international environment with enthusiastic colleagues, excellent working conditions and a green and lively campus.

  • A fully funded full-time 4-year PhD position;
  • Excellent mentorship and a stimulating international research environment;
  • A training program as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
  • A gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year)
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%;
  • The flexibility to work (partially) from home;
  • Minimum of 29 holidays per year in case of fulltime employment;
  • Free access to sports facilities on campus;
  • We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

Female applicants are explicitly asked to apply for this position. This is part of the University of Twente's strategy to increase the proportion of women among its faculty and to create a working environment that is diverse and inclusive and supportive of excellence in research and teaching.

Additional comments

You are welcome to contact Dr.-Ing. Malte Asseln ( ) or Gabrielle Tuijthof ( ) for any questions you might have.

Please submit your application before October 13th 2023 by using the “Apply now” button and include the following documents:

  • A motivation letter, emphasizing your specific interest and motivation to apply for this PhD position in our group.
  • A full Curriculum Vitae including your education, publications, awards, and working experience. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position.
  • An academic transcript of BSc and MSc education, including grades.
  • A short description of your most recent accomplishment (master’s thesis, final project report, etc.).
  • References (contact information) of two scientific staff members (such as the supervisor of your master thesis/final project) who are willing to provide a recommendation letter at our request.

Interviews will take place in two phases. If selected, there will be a first online interview in late October/ early November. A subset of the candidates will be invited for a second in-person interview shortly thereafter.

Website for additional job details

Work Location(s)
Number of offers available
Universiteit Twente
Postal Code
Drienerlolaan 5

Where to apply



Drienerlolaan 5
Postal Code

7522 NB

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