Publisher
source

Luuk van Laake

3 months ago

PhD in bioinspired physical control of soft robots Eindhoven University of Technology in Netherlands

Degree Level

PhD

Field of study

Mechanical Engineering

Funding

Available

Deadline

Aug 30, 2026

Country flag

Country

Netherlands

University

Eindhoven University of Technology

Suggested positions

Publisher
source

Meng Yuan

te herenga waka—victoria university of wellington

Country flag

New Zealand

🚀 PhD opportunities are available in control, robotics, and learning-based optimisation at Te Herenga Waka—Victoria University of Wellington , New Zealand. The project sits at the intersection of model predictive control (MPC) and reinforcement learning (RL) , with applications to safe, efficient, and adaptive controllers for real engineering systems. Research directions include robotic manipulators and high-precision motion control, quadruped robots and loco-manipulation, and energy systems suc...

Computer Science
Mechanical Engineering
Electrical Engineering
+8 more

3 weeks ago

Publisher
source

Eindhoven University of Technology

Country flag

Netherlands

PhD opportunity at Eindhoven University of Technology (TU/e) in the Department of Mechanical Engineering , working in the Dynamics and Control group on control theory , scientific machine learning , operator learning , and dynamical systems . The project asks fundamental questions about learned operators: when they admit state-space representations, how stability, contraction, dissipativity, and robustness can be characterized in the operator domain, and how feedforward, feedback, and predictive...

Computer Science
Mechanical Engineering
Electrical Engineering
+7 more

1 week ago

Publisher
source

Shivam Bajaj

Embry-Riddle Aeronautical University

Country flag

United States

Assistant Professor Shivam Bajaj at Embry-Riddle Aeronautical University is looking for highly motivated Ph.D. and M.S. students to join his research group. The research area is at the intersection of controls and multi-agent reinforcement learning , with related interests in control systems , reinforcement learning , and game theory . Preferred backgrounds include aerospace engineering , electrical and computer engineering , mechanical engineering , or related fields. Prior research experience ...

Computer Science
Mechanical Engineering
Electrical Engineering
+6 more

1 month ago

Publisher
source

University of Groningen

Country flag

Netherlands

University of Groningen is advertising a PhD position in Systems and Control Theory for Energy-Based Learning in the Netherlands . The project sits at the intersection of systems and control theory , circuit theory , optimization , machine learning , and neuromorphic computing , with a strong emphasis on mathematical foundations for energy-efficient computing. The PhD candidate will develop theory and algorithms for learning in analog circuits and dissipative networks. The research aims to model...

Computer Science
Electrical Engineering
Mathematics
+4 more

1 month ago

Publisher
source

Aritra Mitra

North Carolina State University

Country flag

United States

Aritra Mitra, Assistant Professor at North Carolina State University, is looking to hire a PhD student for Fall 2027. The position is centered on data-driven control , reinforcement learning , reliable machine learning , and multi-agent systems , with an emphasis on combining fundamental theory and algorithms with real systems. The post also highlights NC State’s growing robotics ecosystem and collaborative opportunities across departments. Ideal applicants should have a strong technical backgro...

Computer Science
Machine Learning
Mechanical Engineering
+7 more

2 months ago

Keywords

Mechanical Engineering
Electrical Engineering
Mathematics
Reinforcement Learning
Nonlinear Mechanics
Soft Robotics
Microengineering
Multiphysics Simulation
Robotics
Mechatronics
Control System
Physics

About this position

Tu Eindhoven University of Technology invites applications for a PhD position in bioinspired physical control of soft robots. This project sits at the intersection of soft robotics, physical intelligence, nonlinear mechanics, and autonomous systems, and is aimed at developing the next generation of robust and efficient intelligent machines inspired by biological autonomy.

The research focuses on active adaptation in fluid-driven soft robots. Instead of relying primarily on software-based control, the project explores how physical processes and fluidic circuits can encode memory, thresholds, and reflex-like responses. The successful candidate will investigate how soft actuators respond to environmental interactions, build improved models of these interactions, and design and evaluate soft fluidic components that act as building blocks for fluidic neural networks. The work will also make use of advanced numerical tools such as nonlinear FEM, evolutionary optimization, and reinforcement learning to optimize and train systems in context.

The position is embedded in the Neuromorphic Mechanics group, led by Luuk van Laake, and connected to the broader Neuromorphic Engineering activity led by Prof. Yoeri van de Burgt. It is also part of the Microsystems section headed by Prof. Jaap den Toonder, within the Mechanical Engineering Department and associated with the Institute for Complex Molecular Systems (ICMS). The group benefits from access to the Microfab lab, a state-of-the-art microfabrication facility for manufacturing, prototyping, and measurement.

The PhD candidate will design and perform experiments, develop models, work on soft fluidic building blocks, and contribute to the broader scientific output of the group through conference presentations and high-impact publications. The role also includes supervision of BSc and MSc students and participation in teaching activities.

Applicants should have an excellent MSc degree or equivalent in mechanical engineering, electrical engineering, applied physics, microsystems, or another relevant engineering/scientific discipline. Strong motivation to combine experiments, simulations, and theory is important, as is curiosity, resourcefulness, and the ability to work collaboratively in a multidisciplinary and international environment. English fluency at C1 level is required.

The position is a full-time PhD employment for four years, with an intermediate assessment after nine months. Compensation follows the Dutch university collective agreement, scale P, with a gross monthly base salary between €3,204 and €4,051, plus an 8% holiday allowance and an 8.3% year-end bonus. Additional benefits include pension coverage, parental leave provisions, commuting/working-from-home support, training opportunities, and access to on-campus facilities.

To apply, submit a complete online application including a cover letter, CV with publication list and three references, and transcripts of BSc and MSc course grades. The vacancy remains open until filled, and incomplete applications may be given lower priority.

Funding details

Available

What's required

Applicants must hold an excellent MSc degree (or equivalent) in mechanical engineering, electrical engineering, applied physics, microsystems, or another relevant engineering/scientific field. Candidates should be curious, intrinsically motivated, organized, resourceful, and able to turn ideas into results. Experience or strong interest in combining hands-on experiments, simulations, and theory is expected, along with the ability to work in a multidisciplinary and international group. The role also seeks a team player who enjoys supervising BSc and MSc students. Fluency in spoken and written English at C1 level is required.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Computational Neuroscience

Hardware Engineering

Nanoelectronic

Conjugated Polymer

Electrical Engineering

Prof. Dr. Ir. at Eindhoven University of Technology

University Name
Country flag

Netherlands

Research Interests

Tissue Engineering

Fluid Mechanics

Microfabrication

Microfluidic

Mechanical Engineering