[jobs] Fully funded PhD position on 'AI enabled haptic-guided teleoperation: a study on Human-Robot Interaction'
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amir masoud
Mar 2, 2021, 9:07:48 AM3/2/21
to EUCog General News
Fully funded PhD position on 'AI-enabled haptic-guided teleoperation: a study on Human-Robot Interaction
Deadline: 28 February (deadline extended: 14 March 2021)
To apply see the application instruction below.
This project aims at developing and testing novel teleoperating robot manipulators and assess their effectiveness. You will be specialising in Human-Robot Interaction and will study how various robotic features (such as intelligent haptic guidance) impacts performance, operators’ mental workload, subjective experience and physiological and brain data. We are offering a fantastic multi-disciplinary PhD opportunity, fully funded, working with the Lincoln Centre for Autonomous Systems (LCAS), the interactive technologies lab (intlab), and the School of Psychology.
While we have extensively studied haptic-guided shared control for telemanipulation for remote handling in extreme environments, this PhD will have the opportunity to study this in a wider context and application domain, such as agri-food robotics, and medical robotics. The PhD will have the opportunity to work with state-of-the-art robotic systems/equipment (e.g. Franka-Emika manipulators and Hapatin Virtuose™ 6D) and benefit from the setups at our group developed during several EU-H2020 and UK-EPSRC funded collaborative projects. This interdisciplinary project is related to the design, development and implementation of AI, machine learning and/or robot control solutions for haptic-guided shared control to facilitate teleoperating a robotic manipulator for human users. This project also involves evaluation techniques to assess operators’ mental workload and effort based on physiological and brain data by using portable Brain-Computer Interfaces and data science techniques to reveal the effectiveness of each developed technology. Full training will be provided.
By joining the Doctoral Training Partnership programme at the University of Lincoln you will participate in the fully funded 3.5 years programme supported by a multidisciplinary supervisory team across 3 different schools in the College of Science (School of Computer Science and the intLab, School of Psychology, and Lincoln Institute of Agri-food Technology).
Training opportunities: The PhD student will work with state-of-the-art robotic equipment. Gain deep knowledge in Robotic Manipulation, Teleoperation, Control, ML and data analysis and apply them in real experimentations. Gain significant knowledge for Human-RobotInteraction studies and Data Analysis. Develop analytical, problem-solving and research skills. Coding skills (C++, Python and ROS). Collaboration with an active team of researchers within L-CAS and across collaborating universities, e.g., University of Cambridge/Birmingham/Bristol and QMUL. You will be working in a collaborative and stimulating environment, strengthened by cohort-driven activities, where knowledge sharing and joint problem solving is the norm. The multidisciplinary nature of the programme will make you think about problems from a whole new perspective and explore innovative ideas.
We are seeking talented candidates with MSc (first or upper second-class) in Robotics, AI, Human Factors, Human-Computer Interaction, Computer Science, Mechanical Engineering, Electronics, Cybernetics or related scientific discipline. Applicants who graduated in the UK with a strong first degree or complementary industry experience are also considered. We also consider outstanding international candidates.
* Good knowledge of robotics, control, ML, AI, Human-Robot Interaction;
* Programming skills (Proficient C++ and/or Python);
* ROS experience is considered a strong plus;
* Oral and written fluency in English. Good communication, team working and presentation skills;
* Experience with real robotic systems is a strong plus.
University of Lincoln Crowned Modern University of the Year. The University of Lincoln, UK, has been named as the Modern University of the Year in The Times and Sunday Times Good University Guide 2021. 2020-2021. As an institutional Athena SWAN Bronze Award holder, we are committed to advancing gender equality in STEM, therefore female applicants are strongly encouraged to apply.
Requirement: M.Sc. degree in Robotics, Computer Science, Mechanical/Electrical engineering or any related field (outstanding B.Sc. graduated with research experience will also be considered!) with good knowledge in Robotics.
Deadline: 28 February 2021
Supervisory team:
Dr A Ghalamzan Esfahani ( https://intmanlab.com )
Deadline: 28 February (deadline extended: 14 March 2021)
To apply see the application instruction below.
This project aims at developing and testing novel teleoperating robot manipulators and assess their effectiveness. You will be specialising in Human-Robot Interaction and will study how various robotic features (such as intelligent haptic guidance) impacts performance, operators’ mental workload, subjective experience and physiological and brain data. We are offering a fantastic multi-disciplinary PhD opportunity, fully funded, working with the Lincoln Centre for Autonomous Systems (LCAS), the interactive technologies lab (intlab), and the School of Psychology.
While we have extensively studied haptic-guided shared control for telemanipulation for remote handling in extreme environments, this PhD will have the opportunity to study this in a wider context and application domain, such as agri-food robotics, and medical robotics. The PhD will have the opportunity to work with state-of-the-art robotic systems/equipment (e.g. Franka-Emika manipulators and Hapatin Virtuose™ 6D) and benefit from the setups at our group developed during several EU-H2020 and UK-EPSRC funded collaborative projects. This interdisciplinary project is related to the design, development and implementation of AI, machine learning and/or robot control solutions for haptic-guided shared control to facilitate teleoperating a robotic manipulator for human users. This project also involves evaluation techniques to assess operators’ mental workload and effort based on physiological and brain data by using portable Brain-Computer Interfaces and data science techniques to reveal the effectiveness of each developed technology. Full training will be provided.
By joining the Doctoral Training Partnership programme at the University of Lincoln you will participate in the fully funded 3.5 years programme supported by a multidisciplinary supervisory team across 3 different schools in the College of Science (School of Computer Science and the intLab, School of Psychology, and Lincoln Institute of Agri-food Technology).
Training opportunities: The PhD student will work with state-of-the-art robotic equipment. Gain deep knowledge in Robotic Manipulation, Teleoperation, Control, ML and data analysis and apply them in real experimentations. Gain significant knowledge for Human-RobotInteraction studies and Data Analysis. Develop analytical, problem-solving and research skills. Coding skills (C++, Python and ROS). Collaboration with an active team of researchers within L-CAS and across collaborating universities, e.g., University of Cambridge/Birmingham/Bristol and QMUL. You will be working in a collaborative and stimulating environment, strengthened by cohort-driven activities, where knowledge sharing and joint problem solving is the norm. The multidisciplinary nature of the programme will make you think about problems from a whole new perspective and explore innovative ideas.
We are seeking talented candidates with MSc (first or upper second-class) in Robotics, AI, Human Factors, Human-Computer Interaction, Computer Science, Mechanical Engineering, Electronics, Cybernetics or related scientific discipline. Applicants who graduated in the UK with a strong first degree or complementary industry experience are also considered. We also consider outstanding international candidates.
* Good knowledge of robotics, control, ML, AI, Human-Robot Interaction;
* Programming skills (Proficient C++ and/or Python);
* ROS experience is considered a strong plus;
* Oral and written fluency in English. Good communication, team working and presentation skills;
* Experience with real robotic systems is a strong plus.
University of Lincoln Crowned Modern University of the Year. The University of Lincoln, UK, has been named as the Modern University of the Year in The Times and Sunday Times Good University Guide 2021. 2020-2021. As an institutional Athena SWAN Bronze Award holder, we are committed to advancing gender equality in STEM, therefore female applicants are strongly encouraged to apply.
Requirement: M.Sc. degree in Robotics, Computer Science, Mechanical/Electrical engineering or any related field (outstanding B.Sc. graduated with research experience will also be considered!) with good knowledge in Robotics.
Deadline: 28 February 2021
Supervisory team:
Dr A Ghalamzan Esfahani ( https://intmanlab.com )
Dr H Maior (School of Computer Science -- intLab),
Dr J Foecker (School of Psychology)
To express your interest and for further information, please send your CV along with a brief cover letter to Dr Amir Ghalamzan (aghalamza...@lincoln.ac.uk<mailto:aghalamza...@lincoln.ac.uk>).
To apply: please complete the application form (see link below) and send it to d...@lincoln.ac.uk
Application form:
Dr J Foecker (School of Psychology)
To express your interest and for further information, please send your CV along with a brief cover letter to Dr Amir Ghalamzan (aghalamza...@lincoln.ac.uk<mailto:aghalamza...@lincoln.ac.uk>).
To apply: please complete the application form (see link below) and send it to d...@lincoln.ac.uk
Application form:
http://www.findaphd.com/common/clickCount.aspx?theid=129026&type=184&DID=2328&url=https%3a%2f%2fwww.lincoln.ac.uk%2fhome%2fmedia%2fresponsive2017%2fcollegeofscience%2fschoolengineering%2fDTP%2cApplication%2cForm%2c2021_22.docx
Call: https://www.findaphd.com/phds/project/ai-enabled-haptic-guided-teleoperation-a-study-on-human-robot-interaction/?p129026
Call: https://www.findaphd.com/phds/project/ai-enabled-haptic-guided-teleoperation-a-study-on-human-robot-interaction/?p129026
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