• Personal type:Scientific staff
• Field of expertise:PhD
• Organisation:Department of Biomedical Engineering
• Apply before: 30-04-2026
• Full-time equivalent:1.0 FTE
• Salary: € 3.059 – € 3.881

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Introduction

Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic understanding of tissue growth and inform in vitro experiments? Then you might be our next PhD candidate!

Job Description

Functional and durable regeneration of articular cartilage is still an unsolved challenge, despite the growing clinical and socioeconomic burden. In recent years, developmentally inspired tissue engineering (TE) approaches, relying on the assembly of self-organizing microtissue-based building blocks into larger constructs, have emerged as promising avenues for cartilage regeneration. However, this typically results in a larger tissue with a disorganized matrix architecture, not resembling native cartilage. To unlock the full potential of microtissue-based TE, a deeper understanding is needed of how these microtissues remodel and fuse their matrices as they grow, and how this is governed by their mechanical microenvironment. As a PhD candidate, you will develop novel computational tools to elucidate these phenomena.

This PhD project aims to develop a computational growth and remodeling (G&R) framework to investigate how cartilage microtissue growth dynamics, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights into the key parameters governing these processes, inform targeted in vitro experiments, and help design better biomaterials and TE strategies that harness mechanics and geometry. As a PhD candidate, you will adopt and extend in-house homogenized constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R. You will then simulate cartilage microtissues growing inside engineered, confining microenvironments and investigate the key parameters influencing the growth process, with a primary focus on anisotropic matrix organization. While this project is entirely computational in nature, you will collaborate closely with experimental researchers working with cartilage microtissues and engineered biomaterials, e.g. for tuning and validating the computational models, and for informing new in vitro experiments.

As a PhD candidate, you will become an integral part of a dynamic and multidisciplinary environment of engineers, biologists, and clinicians across seniority levels, driving innovation in regenerative medicine. An educational and professional development program will be offered to you, and you will contribute to teaching activities and supervision of BSc and MSc students. You will be expected to present your PhD research at (inter-)national scientific conferences, publish in scientific journals, and complete a doctoral dissertation.

Embedding
This PhD project will be integrally based within two research groups of the Department of Biomedical Engineering: the Orthopaedic Biomechanics (OPB) group and the Modeling in Mechanobiology (MMB) group. You will be supervised by Dr. Sebastien Callens (co-promotor, OPB), Prof. Keita Ito (Promotor, OPB), and Dr. Sandra Loerakker (Promotor, MMB). The OPB group researches a wide range of topics related to tissue engineering, mechanobiology, and biomechanics of bone, articular cartilage, intervertebral disc, and tendons/ligaments. The group synergizes advanced in vitro, ex vivo, and in silico approaches to uncover new fundamental insights into the properties, growth, and degeneration of orthopaedic tissues, as well as to develop novel regenerative engineering strategies. The MMB group investigates the mechanobiology of native and engineered tissues, with a current focus on cardiovascular applications, using integrated computational and experimental methods. The group focuses on developing a deep understanding of how mechanical stimulation regulates growth and remodeling, with the aim of applying these insights to enhance regenerative strategies.

Both the OPB and MMB groups are part of the Regenerative Materials and Engineering cluster of the Department of Biomedical Engineering at the Eindhoven University of Technology. The department offers Bachelors and Masters education programs that are integrally linked to its research areas ranging across Chemical Biology, Biosensing, Biomaterials, Biomechanics, Tissue Engineering, Computational Biology, Biomedical Imaging and Modelling, with 800+ students and 200+ academic staff. Eindhoven University of Technology is an open and inclusive institute with short communication lines. The people are curious, collaborative, and strive for excellence in research and education at an internationally renowned level. Our lively campus community facilitates connections between staff and students, in an inclusive, friendly, vibrant atmosphere that welcomes and inspires, and is an integral part of the Dutch Brainport region.

Job Requirements

We are looking for a self-motivated, ambitious, and highly talented candidate that meets the following requirements:

• A MSc degree (or equivalent) in Biomedical Engineering, Mechanical Engineering, Applied Mathematics, or related engineering/scientific fields.
• A strong affinity for complex theoretical concepts in mechanics and/or applied mathematics.
• A research-oriented attitude and a strong drive to learn and push the state-of-the-art.
• A creative mindset, and the ability to take initiative.
• Demonstrated experience with finite element modeling is essential.
• Experience with homogenized constrained-mixture models or other tissue growth models, and experience with mechanical characterization of biological materials is a plus.
• The ability to work collaboratively in interdisciplinary teams and bridge research groups.
• Excellent communication skills, fluent in spoken and written English.

Conditions of Employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you: 

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment. 
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 – max. € 3,881).  
• A year-end bonus of 8.3% and annual vacation pay of 8%. 
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process. 
• An excellent technical infrastructure, on-campus children’s day care and sports facilities.  
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs. 
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates. 

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us

We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The Department of Biomedical Engineering offers top-level education and research in one of the most relevant and exciting scientific disciplines of the 21st century: engineering health. In combining engineering and life sciences, through challenge-based learning and a multidisciplinary approach in collaboration with hospitals, industry and others, the department addresses the great challenges of the future, striving to improve healthcare and society as a whole.

Information

Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Dr. Sebastien Callens, s.j.p.callens@tue.nl.

Visit our website for more information about the application process. You can also contact HRServices.bme@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• A transcript of your MSc course grades.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post. 
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services. 

Reference number: 2026/193

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DEPARTMENT OF BIOMECHANICS HEAD: ASSOC.-PROF. DI DR. ANDREAS REISINGER EMPLOYMENT LEVEL: 32 HOURS/WEEK 

Karl Landsteiner University is embedded in a highly successful teaching and research environment at the Krems Campus as well as within the University Hospital Network of St. Pölten, Krems, and Tulln. Through close collaboration with partner institutions in Wiener Neustadt and other strategic partners in science and research, KL pursues targeted profile development in defined areas of biomedical and biopsychosocial sciences.

YOUR RESPONSIBILITIES

• Management of the Biomechanics Laboratory at the KL
• Independent planning, execution and documentation of biomechanical studies in collaboration with (clinical) project partners in accordance with scientific quality standards
• Design and manufacture of biomechanical testing equipment
• Supervision and training of project staff and students in the laboratory
• Administrative support for the laboratory including placing orders, organising equipment maintenance and repairs, managing the stored biological samples
• Designated officers for laboratory operations (e.g. radiation protection officer, first-aid officer)
• Assistance with university teaching within the department

YOUR PROFILE

• A relevant Master’s degree (e.g. Mechanical Engineering, Physics, Biomedical Engineering, etc.)
• In-depth knowledge of biomechanical measurement technology (material and/or implant testing, including mechatronics and measurement data analysis)
• Good command of German and very good command of English, both spoken and written
• Process-oriented, precise, structured approach to work with a strong ability to prioritise
• Open-minded, resilient and flexible personality with a professional attitude

OUR OFFER

You can expect a stimulating position where you will actively contribute to the growth of a young university within a highly motivated team. We offer flexible working hours, occupational health services, and a wide range of additional benefits.

Karl Landsteiner University is committed to an antidiscriminatory employment policy and places strong emphasis on equal opportunities and diversity. Qualified applicants with diverse backgrounds (gender, age, ethnicity, religion, sexual orientation, etc.) are explicitly encouraged to apply.

The minimum gross monthly salary for full-time employment (40 hours/week) is € 3.500,-, paid 14 times per year (minimum annual gross salary: € 49.000,-). Willingness to offer a higher salary depending on qualifications and experience.

APPLICATION

We look forward to receiving your application. Please apply online at https://www.kl.ac.at/en/university/career-kl, quoting reference number “2611”, by 30th April 2026.

The ARTORG Center for Biomedical Engineering Research is a multidisciplinary research center at the University of Bern developing medical technology solutions from basic research to clinical applications.

Application deadline: February 15, 2026 | Starting date: May /June 2026

Every year, millions of people undergo refractive surgery to correct their vision, yet outcomes remain unpredictable for patients with complex corneal conditions. Join us in developing AI-powered tools that could revolutionize how we plan and predict surgical outcomes for patients with severe visual impairment.

About the project

The Computational Bioengineering Group invites applications for a 3-4 year PhD position in machine learning and ocular biomechanics. You will develop patient-specific biomechanical models of the cornea integrated with machine learning to understand how corneal biomechanics influence visual outcomes and support prediction, treatment, and planning of refractive interventions for patients with severe visual impairment.

This SNSF-funded project is conducted jointly with the Swiss Federal Institute of Technology Lausanne (EPFL), the University of Basel (unibas), and Bern University Hospital (Inselspital). The candidate will work closely with engineers, clinicians, and data scientists in a strong translational research environment.

Research environment

The Computational Bioengineering Group develops experimental and computational methods in biomechanics to address clinically relevant problems. The group combines finite element modeling, medical image analysis, experimental tissue characterization, and data-driven methods to develop new diagnostic approaches, support surgical planning, and contribute to the design of medical technologies.

Tasks and responsibilities

• Develop medical image analysis tools for patient-specific finite element modeling
• Quantify biomechanical impact of surgical treatments on visual outcomes
• Design machine learning methods to accelerate simulations and predict outcomes
• Identify optimal treatment strategies from preoperative data

Required qualifications

• Master’s degree in computer science, engineering, or applied mathematics
• Experience in computer vision and machine learning
• Solid Python programming for machine learning
• Background in mechanics and computational methods
• Finite element analysis experience (strong asset)
• Working in a medical regulatory environment would be a strong advantage
• Strong English communication skills

What we offer

• International environment in a leading biomedical engineering center
• Close clinical interaction with real-world data access
• Multidisciplinary team expertise (biomechanics, ML, clinical research)
• Publication and conference opportunities in high-impact venues
• Competitive SNSF salary with Swiss social benefits
• Free German language courses

Application procedure

Interested candidates should submit the following documents electronically to Prof. Philippe Büchler, philippe.buechler@unibe.ch

• Curriculum vitae, including contact details of references
• Motivation letter describing research interests and career goals
• Abstract of the Master’s thesis
• Academic transcripts

This vacancy represents an exciting opportunity for ambitious individuals to join the computational group led by Aurélie Carlier as part of the DRIVE-RM program. The PhD researcher will perform cutting-edge research in computational modeling methods applied to regenerative medicine and more specifically, to bone regeneration.

PhD in Computational Modelling of Bone Regeneration in Compromised Environments

• Our goal: Advance regenerative medicine by developing in silico models that reveal how bone regenerates including how this process changes in compromised biological environments.
• Your colleagues: A collaborative team of computational modelers, biologists, and engineers at MERLN, working at the interface of data-driven and mechanistic modelling.

Regenerative medicine (RM) holds the promise to cure many of what are now chronic patients, restoring health rather than protracting decline, bettering the lives of millions and at the same time preventing lifelong, expensive care processes: cure instead of care. The scientific community has made large steps in this direction over the past decade, however, our understanding of the fundamentals of cell, tissue and organ regeneration and of how to stimulate and guide this with intelligent biomaterials in the human body is still in its infancy. Specifically, it is crucial to understand the underlying regenerative mechanisms and how these are altered in compromised environments (e.g. due to aging or co-morbidities such as diabetes or chronic kidney disease). This research project aims to develop and use in silico models to simulate the bone regeneration process, to improve our fundamental understanding thereof, and use the obtained knowledge to design improved regenerative medicine strategies.  

Project description: 
•    Development of a bone regeneration map
•    Computational modeling of bone regeneration (partial differential equations)
•    Bringing novel, cutting-edge approaches (e.g. PINNs) to modeling of regenerative processes
•    Parameter optimization and sensitivity analysis 
•    Analysis and integration of various in vitro/in vivo data for model calibration 
•    Approximately 5% of your time will be dedicated to tutoring, teaching, or supervising students.

Are you ready to push boundaries in regenerative medicine? Then we would love to meet you.

Interested? 
Want to know more about this position or what it’s like to work at our university? Reach out to Dr. Aurélie Carlier at a.carlier@maastrichtuniversity.nl. Further information and application link can be found here.

Are you interested in undertaking a PhD in the interdisciplinary field of computational cardiovascular biomechanics? If so, there are positions available in my research group and details are provided below.

Further information: If you are interested or want more information, please contact me at my email (ankush.aggarwal@glasgow.ac.uk) before starting the formal application. Please visit Computational Biomechanics Research Group page or my staff page for more information on our research. 

Project Summary: Almost 30% of all deaths globally are related to cardiovascular diseases. The overall aim of computational cardiovascular biomechanics is to help improve the diagnosis of these diseases (faster, earlier, more precise), provide better surgical outcomes, and design devices that last longer. To achieve that aim, we study the biomechanical properties of tissues and cells comprising the cardiovascular system using a combination of in-vivo imaging, ex-vivo and in-vitro testing, and in-silico modeling. Several project topics are available, including, but not limited to:

1) Predicting aneurysm development from ultrasound images using growth and remodeling simulations
2) Drug-based treatment of aneurysms: a computational study
3) Uncertainty quantification in image-based cardiovascular biomechanics
4) Image-based cardiovascular diagnosis using machine-learning
5) Development of a digital twin of the thoracic aorta

During this project, the student will have opportunities to:

• Develop skills necessary to work at the interface of engineering and biomedical science
• Publish papers in high-quality journals
• Present research results at international conferences
• Learn about nonlinear finite element analysis, nonlinear mechanics, multiscale modeling, image-based analysis, data science, and other numerical techniques
• Learn about experimental and clinical validation
• Collaborate with our international academic and industrial partners
• Interact within the Glasgow Centre for Computational Engineering with other researchers (GCEC) and across departments with biomedical scientists and clinicians

Eligibility: Candidates must have an undergraduate degree in a relevant field, such as Mechanical Engineering, Biomedical Engineering, Civil Engineering, Mathematics and Computing Science, with excellent grades. A background in mechanics and knowledge of numerical methods (such as finite element analysis) would be necessary. Programming skills will be required for computational modeling.

Application: The deadline for applications is 31 January 2026, and the application process consists of two parts:

1) On-line academic application: Go to https://www.gla.ac.uk/postgraduate/research/infrastructureenvironment/ and click on the ‘Apply now’ tab. Applicants should attach relevant documents such as CV, transcripts, references and a research proposal.

2) Scholarship: Depending on the eligibility, you can apply for competitive scholarships, such as UofG School of Engineering Scholarship, CSC Scholarship, Commonwealth Scholarship, etc. These are listed on https://www.gla.ac.uk/colleges/scienceengineering/graduateschool/scholarships/#pgrscholarships Please feel free to get in touch to discuss further.

We are recruiting two PhD candidates for an FWF-funded project on the biomechanics of the temporomandibular joint (TMJ). The goal is to build jaw digital twins, combining morphology, muscle coordination and joint loading, to advance understanding of TMD and its higher prevalence in women. Work is at the interface of AI and mechanics-based simulation in a highly interdisciplinary setting.

Tracks
• PhD 1: ML-enhanced, reduced-coordinate hybrid FE / rigid-body modelling linking TMJ morphology to mechanical stress.
• PhD 2: Reinforcement-learning driven muscle coordination & motor control in jaw function.

Requirements
• MSc (or equivalent) in biomedical/mechanical engineering, computer science, physics, or related discipline
• Strong programming (e.g., Python; PyTorch/TensorFlow; Java)
• Interest in AI + simulation for human biomechanics
• Experience in FE modelling, rigid-body simulation, RL, or medical imaging/biomech data is a plus

We offer
• Fully funded 3–4 year PhD positions at Medical University of Vienna
• Integration with the Competence Center AI in Dentistry and the Comprehensive Center for AI in Medicine
• Outstanding research environment and quality of life in Vienna

Apply & Contact
• Deadline: 30 November 2025
• Apply / details: https://oc10.meduniwien.ac.at/open-phd-positions