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TU Delft
Postdoc in Tactile Robotics for Dexterous Manipulation
TU Delft
36 - 40 uur
PhD
nieuw
Status Open
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Wat wij vragen

Opleiding
PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field.
Ervaring
Proficiency in programming (Python, C++, MATLAB, or similar). Knowledge of machine learning and signal processing techniques. Excellent written and verbal communication skills in English. Strong analytical and problem-solving abilities. Publication record in robotics, sensing, or related fields.
Talen
  • Je beheerst Engels

Wat wij bieden

Uren
36 tot 40 uur per week
Dienstverband
fulltime
Type vacature
intern

Vacaturebeschrijving

Postdoc in Tactile Robotics for Dexterous Manipulation

Challenge: Control robotic dexterous hand during dynamic movements

Change: Leverage high-resolution tactile sensors to handle contacts

Impact: Autonomous grasping and manipulation

Job description

Dexterous manipulation represents one of robotics' most fundamental unsolved problems. While robots excel at precise positioning and heavy lifting, they fail at tasks humans perform unconsciously - sliding a glass without spilling, rotating a screwdriver with proper torque, or coordinating fingers to tie shoelaces. This gap has profound implications for manufacturing, healthcare, domestic assistance, and applications where robots must interact delicately with the physical world.

Current robotic systems rely primarily on vision and force sensors, missing the rich tactile information that enables human dexterity. Our lab pioneered a new tactile sensor technology (best student paper award at ICRA 2025) that offers unprecedented spatial resolution and sensitivity, providing robots with meaningful tactile sensing. This position represents a unique opportunity to leverage rich tactile information for dexterous manipulation.

Your role and impact as postdoctoral researcher, you'll lead the research in leveraging our tactile sensor technology to control grippers and multi-finger hands. Your primary mission involves developing control strategies that enable robots to perform complex manipulation through tactile feedback. You'll focus on three critical aspects of the problem: sliding motion control, rotation strategies for precise tool manipulation, and multi-finger coordination for more complex tasks.

We expect that you will blend theoretical approaches with hands-on experimentation, as well as collaborate with PhD candidates. You'll design experiments using our robotic platform, analyze tactile data patterns, implement real-time control algorithms, and validate performance across diverse scenarios.

You'll be part of the Tactile Machines Lab, which is a dynamic, interdisciplinary group of researcher bringing together expertise in robotics, sensing, machine learning, biomechanics, and haptics.

The project is funded by a NWO VIDI grant to the PI and provides financial security, access to state-of-the-art equipment, travel resources, and freedom to pursue new research directions.

You will work alongside two PhD candidates and numerous Master's students, providing opportunities for mentoring.

Our lab maintains strong industry partnerships, offering opportunities to test algorithms on real-world applications.

This research addresses a fundamental robotics limitation that can potentially enable transformative applications. Your contributions will directly influence next-generation robotic systems, from surgical robots requiring precise manipulation to manufacturing systems handling delicate objects such as fruits.

Working on this project positions you at the forefront of robotics in the burgeoning field of tactile robotics. It is the perfect platform for you to gain expertise in cutting-edge sensing technologies, develop deep understanding of robotic manipulation, and build a record of high-impact publications.

Job requirements
  • PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or related field.
  • Strong background in robotic and control systems.
  • Experience with dexterous manipulation, tactile sensing or haptic systems.
  • Proficiency in programming (Python, C++, MATLAB, or similar).
  • Experience with robotic platforms and hardware.
  • Knowledge of machine learning and signal processing techniques.
  • Excellent written and verbal communication skills in English.
  • Strong analytical and problem-solving abilities.
  • Publication record in robotics, sensing, or related fields.
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 to the development of prosperity and well?'being. That is what unites us in pioneering research, inspiring education and (inter)national cooperation.

Click here to go to the website of the Faculty of Mechanical Engineering. Do you want to experience working at our faculty? These videos will introduce you to some of our researchers and their work.

Application procedure
  • CV
  • Motivational letter

Please note:

  • knowledge security.
  • Please do not contact us for unsolicited services.
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