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

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

Join us to explore the mechanics of soft matter through a unique blend of theory, hands-on experiments, and 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, https://www.mech-mat.com/.

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.

TU Delft (Delft University of Technology)

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. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

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. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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 the development of prosperity and well?'being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

will introduce you to some of our researchers and their work.

Additional information

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