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12442- Research Associate in Perceptive Soft Robotics
| Dyddiad hysbysebu: | 02 Mai 2025 |
|---|---|
| Cyflog: | £40,497 i £48,149 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 30 Mai 2025 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Dros dro |
| Cyfeirnod swydd: | 12442 |
Crynodeb
Grade UE07, £40,497 - £48,149 per annum
College of Science & Engineering, School of Engineering,
Institute for Imaging, Data and Communications
Full-time 35 hours per week
Fixed-term for up to 24 months
The Opportunity:
This Research Associate position will contribute to the SELECT project within the Institute for Imaging, Data and Communications at the University of Edinburgh, which is funded by ERC and in collaboration with colleagues at multiple overseas institutions.
This role is UE07 and is available on a fixed-term basis for up to 24 months.
A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.
Your skills and attributes for success:
A PhD degree in Electronics/Materials Science/Mechanical Engineering
Strong track record in robotics especially in soft robotics
Knowledge and experience in flexible sensor fabrication
Knowledge in control of soft robotic platforms
Good teamwork and communication skills
College of Science & Engineering, School of Engineering,
Institute for Imaging, Data and Communications
Full-time 35 hours per week
Fixed-term for up to 24 months
The Opportunity:
This Research Associate position will contribute to the SELECT project within the Institute for Imaging, Data and Communications at the University of Edinburgh, which is funded by ERC and in collaboration with colleagues at multiple overseas institutions.
This role is UE07 and is available on a fixed-term basis for up to 24 months.
A full list of main responsibilities and the knowledge, skills and experience required for the role can be found in the full job description below.
Your skills and attributes for success:
A PhD degree in Electronics/Materials Science/Mechanical Engineering
Strong track record in robotics especially in soft robotics
Knowledge and experience in flexible sensor fabrication
Knowledge in control of soft robotic platforms
Good teamwork and communication skills