Job title: Assistant Professor in Signal and Image Processing or Robotics
School: School of Engineering & Physical Sciences
Institute: Institute of Sensors, Signal and Systems
Grade and Salary: Grade 8 (£46,735 - £57,422)
Contract Type: Full Time, Open Ended
Working Hours: As required to fulfil duties
Job Description
We welcome applications for one position at Assistant Professor level to join either the or the (SIPLab) at the of in Edinburgh. We seek outstanding self-motivated individuals developing world-leading research in either of the following areas:
1. Autonomous systems and robotics. We are especially interested in profiles willing to work on real world problems in close collaboration with industry to support applications such as (but not limited to) the net-zero transition, manufacturing, field robotics, healthcare and assistive living using robotics solutions. The successful candidate will have an opportunity to collaborate with the University of Edinburgh as part of the, which is a £120 million joint venture between Heriot-Watt and Edinburgh Universities, supported by EPSRC, Industry and the Universities.
2. Signal and image processing, from theory and algorithms to applications throughout science and technology. We particularly welcome applications from candidates with expertise and research focus on machine learning and/or computational imaging methodology, working at the interface with high-performance computing technologies, or with an application focus in domains such as medicine, astronomy, or quantum science. The successful applicant will develop cutting-edge research and establish collaborations within SIPLab, Heriot-Watt,, as well as nationally and internationally.
There will be a requirement to demonstrate leadership and initiative, with a view to building a research team and becoming internationally recognised. The successful candidate will be required to contribute to teaching within the Electrical, Electronic & Computer Engineering discipline. Of particular relevance are Heriot-Watt's highly successful and the new flagship, joint with the University of Edinburgh.
About Us
Heriot-Watt is an internationally-leading University, recognised for its world-class research, emerging from a strong collaborative and multi-disciplinary research culture. The University is a global institution delivering high-quality international teaching programmes, not only at its lead campus in Edinburgh, but also at its Malaysia and Dubai campuses. The present opening is for a research and teaching position in Edinburgh, in the School of Engineering and Physical Sciences (EPS).
EPS is one of the most successful faculties of its kind in the UK, with over £25 million annual research income. It is a recognised research leader in both Physics and Engineering, consistently rated among the best in the UK, in particular in the context of the. ISSS is one of five research institutes forming the research infrastructure of EPS. With an annual research income of about £5M, circa 45 academic members, 20 postdoctoral research associates, and more than 50 PhD students, the institute offers a vibrant research environment.
Key Duties and Responsibilities
The successful candidate will be based at our Edinburgh UK campus. Reporting to the Head of ISSS, responsibilities include:
(i) carrying out and publishing world-class research;
(ii) establishing, leading, sustaining and managing a research team;
(iii) delivering undergraduate and postgraduate teaching (incl. project supervision);
(iv) developing innovative teaching in line with the university’s global nature;
(v) engaging in administrative tasks within the School’s research and teaching ambitions and initiatives.
Education, Qualifications and Experience
Essential criteria
3. PhD in Engineering, Physics, Mathematics, Computer Science, or equivalent
4. Expertise in either signal and image processing, or robotics and AI.
5. Strong publication record.
6. Demonstrated independence in research, with evidence of research vision, and strategy.
7. Experience in teaching.
Desirable criteria
8. Alignment with existing research themes in ISSS.
9. Evidence of research funding.
10. Evidence of collaborative research.
11. Demonstrated leadership in research.