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Position: Doctoral candidate (PhD student) in the field of soft matter physics applied in robotics
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: ou will be refining our recent method for making Cholesteric Liquid Crystal Elastomer (CLCE) sheets and fibres, adding new shapes like hollow spheres and tori and integrating them in strain and force sensing set-ups based on the mechanochromic response of CLCEs, i.e., their colour changes predictably and reversibly in response to mechanical strain. You will then incorporate the sensors in soft robotic arms and grippers mounted on unmanned aerial vehicles (UAVs), enabling real-time monitoring of the oper­ation of the UAV as it manipulates objects using the arm/gripper. Your tasks range from preparation of CLCEs in unconventional shapes and large size, to the development of electronic set-ups (based on, e.g., Arduino or Raspberry Pi) for illuminating and optically monitoring each CLCE, to writing code (e.g. Python) for real-time translation of the optical signals into strain and force data to be sent to the robot
Requirements: Master’s degree (or equivalent) in physics or materials science/engineering; Experience in quantitative research methods and practical work in physics/engineering labs
   
Text: Doctoral candidate (PhD student) in the field of soft matter physics applied in robotics ou will be refining our recent method for making Cholesteric Liquid Crystal Elastomer (CLCE) sheets and fibres, adding new shapes like hollow spheres and tori and integrating them in strain and force sensing set-ups based on the mechanochromic response of CLCEs, i.e., their colour changes predictably and reversibly in response to mechanical strain. You will then incorporate the sensors in soft robotic arms and grippers mounted on unmanned aerial vehicles (UAVs), enabling real-time monitoring of the oper­ation of the UAV as it manipulates objects using the arm/gripper. Your tasks range from preparation of CLCEs in unconventional shapes and large size, to the development of electronic set-ups (based on, e.g., Arduino or Raspberry Pi) for illuminating and optically monitoring each CLCE, to writing code (e.g. Python) for real-time translation of the optical signals into strain and force data to be sent to the robot Master’s degree (or equivalent) in physics or materials science/engineering; Experience in quantitative research methods and practical work in physics/engineering labs
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