Research Assistant - Civil Engineering
| Dyddiad hysbysebu: | 18 Mehefin 2025 |
|---|---|
| Cyflog: | £34,132 i £38,249 bob blwyddyn, pro rata |
| Oriau: | Rhan Amser |
| Dyddiad cau: | 29 Mehefin 2025 |
| Lleoliad: | Swansea, Wales |
| Gweithio o bell: | Ar y safle yn unig |
| Cwmni: | Swansea University |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | SU01067 |
Crynodeb
About The University
Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.
Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance.
About The Role
The appointed candidate will be a Research Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics.
Specifically, the appointed candidate will work closely with the line manager to develop novel control algorithms in EAP soft robotics combining Gaussian Predictors, hands-on laboratory experiments and JULIA computing implementation.
Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right balance of excellent teaching and research, matched by an enviable quality of life.
Our stunning waterfront campuses and multicultural community make us a desirable workplace for colleagues from around the world. Our reward and benefits, and ways of working enable those who join us to have enriching careers, matched by an excellent work-life balance.
About The Role
The appointed candidate will be a Research Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics.
Specifically, the appointed candidate will work closely with the line manager to develop novel control algorithms in EAP soft robotics combining Gaussian Predictors, hands-on laboratory experiments and JULIA computing implementation.