PhD in Sensors for Neuromorphic Touch in Adaptive Robotic Grasping

Do you want to play a crucial role in researching and developing new applications for the next generation of computer technology? At CogniGron, a globally recognized research center of the University of Groningen for brain-inspired (neuromorphic) computing, we are seeking a highly motivated PhD candidate to conduct research on Adaptive object grasping within our demonstrator programme. The goal of CogniGron’s demonstrator programme is to develop prototypes and proof of concepts that showcase the potential of neuromorphic technologies for solving current challenges in computing.

You are an enthusiastic, creative and curious researcher with:

• A Master’s degree (completed or near completion) in Electrical Engineering, Materials Engineering, and Mechanical Engineering or another relevant field.
• Motivation to perform high-quality science that translates into real-world applications for use cases brought in by external partners.
• Demonstrable competence in at least one or more of the key areas related to the position (e.g., flexible and wearable electronics, micro electromechanical systems (MEMS), printed electronics and sensors, soft robotics, event-based sensors, electronic materials, neuromorphic engineering).
• A solid foundation in MEMS, sensors and actuators, electronic materials, and /or advanced functional materials
• Good analytical and problem-solving abilities, and a critical mindset.
• Very good written and spoken English, as required for scientific communication.
• Evidence of well-executed past research projects (e.g., Master thesis, publications, research assistant position).
• Ability to work both independently and collaboratively in an international research environment.

You will work in the interdisciplinary environment of CogniGron that is part of the Faculty of Science and Engineering. Your project is related to the demonstrator topic of Low-power neuromorphic systems for mobility and monitoring. In this research area, current challenges are the development of real-time capabilities, high data efficiency while allowing operation within low-power and low-cost constraints. In this project, we are collaborating with industry partners with the aim to improve accuracy, speed and cost-efficiency of neuromorphic touch on robotic grippers.The specific goal of this PhD project is to develop a sensorized, touch-based control system for a robotic gripper, incorporating flexible electronic tactile sensors to enable robust manipulation of objects with diverse shapes, sizes, compliances, and weight distributions.This robotic gripper should adjust its approach to the object in real-time through fast data processing and adaptation. 

Why should you consider this position?

• Collaboration with industry and other external partners: Your research is directly contributing to demonstrating the advantages of neuromorphic technologies for real-world applications
• Supporting innovation: You will play a key role in developing new computer technologies that offer significant improvements over current conventional technologies at a research centre that is at the forefront of interdisciplinary neuromorphic computing research.
• (Inter)national collaboration: You will work within a vibrant, highly international, multidisciplinary and innovative environment with leading researchers and plenty of opportunities to connect with fellow PhDs and researchers from various disciplines

CogniGron is an internationally recognized research center within the Faculty of Science and Engineering. We conduct fundamental and applied research on self-learning materials and systems for the next generation of computer chips. Inspired by the human brain, we develop chips that can be up to 10,000 times more energy-efficient than current models. Our goal is to create a blueprint for “future-proof computing” by demonstrating real-world solutions in different application domains. These solutions will successfully address the current challenges in computing and data processing in terms of energy consumption, autonomy, latency and privacy. CogniGron offers a vibrant research environment with many opportunities to meet, interact and collaborate with experts in AI, computer science, material science, mathematics, electrical engineering and robotics.