"PhD Position on Mechanics of Self-Sensing Soft Matter with Machine Learning"

Job Description

Soft matter such as polymers and hydrogels are increasingly central to applications in soft metamaterials and bio-implants. Yet, understanding their mechanics in real time remains a major challenge. Their behavior involves nonlinearities, viscous effects, and multiphysics coupling, which are difficult to capture in-situ with traditional methods. Typically, imaging is possible in such application, but full mechanical characterization is not.

Our vision is to change that. Working closely with chemists, we have developed mechanosensing chemistry that enables soft materials to “report” their internal stresses directly through imaging. In this PhD project, you will combine continuum mechanics, machine learning, experimental imaging, and mechanical testing to design and characterize self-sensing soft matter capable of revealing its mechanics from the inside out.

Your role:

• Develop experimental approaches for imaging-based characterization of soft matter.
• Apply and advance continuum mechanics and machine learning techniques to infer mechanical properties from imaging data.
• Integrate theory, computation, and hands-on experiments in a highly interdisciplinary setting.
• Collaborate across disciplines to push the boundaries of soft matter research.

What we offer:

• A 4-year fully funded PhD position at TU Delft.
• The opportunity to lead a pioneering project at the intersection of mechanics, materials, and machine learning.
• Collaboration with international experts from diverse disciplines.
• Access to cutting-edge computational and experimental facilities.
• Supervision of MSc researchers.
• Mentorship and career development support.

This position is jointly embedded in the research groups of Dr. Sid Kumar (Mechanics, Materials, and Computing group) and Dr. Georgy Filonenko (Functional Polymers and Sensors group).

Research group of Dr. Sid Kumar: Mechanics, Materials, and Computing group.

Research group of Dr. Georgy Filonenko: Functional Polymers and Sensors group: www.tudelft.nl/me/over/afdelingen/materials-science-and-engineering/research/functional-polymers-and-sensors-fps-group.

Job Requirements

Master’s degree in applied mechanics, mechanical engineering, materials science, aerospace engineering, physics, applied physics, chemistry, chemical engineering, computer science, or a related field.

• Experience in continuum solid mechanics.
• Experience with machine learning for scientific applications.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Enthusiasm for hands-on experimental work (e.g., mechatronics).
• Familiarity with polymers or other soft materials.
• Drive to tackle interdisciplinary challenges and communicate across fields.
• Strong teamwork and communication skills.

About TU Delft

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.

Faculty Mechanical Engineering

From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty focusses on fundamental understanding, design, production including application and product improvement, materials, processes and (mechanical) systems.

ME is a dynamic and innovative faculty with high-tech lab facilities and international reach. It’s a large faculty but also versatile, so we can often make unique connections by combining different disciplines. This is reflected in ME’s outstanding, state-of-the-art education, which trains students to become responsible and socially engaged engineers and scientists. We translate our knowledge and insights into solutions to societal issues, contributing to a sustainable society and to the development of prosperity and well-being.

Conditions of Employment

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1.5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2.5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from Promovendus gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.

As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.