Chancellor's Fellowships in Data-Driven Innovation (Robotics and Autonomous Systems)

The University of Edinburgh

SALARY SCALE £39,992- £47,722 (for Grade 8 appointments). Exceptionally, an appointment at Grade 9 (£50,618- £56,950) or even Grade 10 (starting from £58,655)

Applications are invited from early career academics of the highest attainment and potential, who have begun to establish a reputation for excellent and innovative research and teaching, at the forefront of their discipline. The College of Science and Engineering at the University of Edinburgh is committed to supporting the next generation of academic leaders in data sciences and artificial intelligence and proposes to appoint up to 10 new Chancellor’s Fellows in Data-Driven Innovation. The Robotics and Autonomous Systems theme is one of three being led by the College of Science and Engineering. Successful candidates will be based in either the School of Informatics or the School of Engineering and will be allied to the Bayes Centre for Data Science and Technology. You will also have access to the facilities and resources of the National Robotarium, which is jointly hosted by the University of Edinburgh and Heriot-Watt University.

The Robotics and Autonomous Systems theme includes research in humanoid and bio-inspired robots, robot perception and action, control, machine vision, autonomy and decision making, human-robot interaction, and the application of machine learning in these areas.

Applications are particularly welcome from candidates with interests in the following areas, however exceptional candidates whose research is related to any area of Robotics and Autonomous Systems will be considered.

  • Human-Computer Interaction
  • Application of Robotics to Medicine
  • Application of Computer Vision to Medicine
  • Statistics, through connections with between Statistics and Data Science generally or Geospatial Statistics or Statistics for the Physical Sciences.
  • There are also opportunities to contribute through Stochastic Analysis, Optimisation and Computational Applied Mathematics.

You will already have established a reputation for the high quality of your data-driven research and innovation. You will have a commitment to develop your skills in on-line teaching at scale at a University level. Colleagues with translational-industrial, public and third sector linkages, international academics and those interested in interdisciplinary collaboration are particularly welcomed. Relocation support and Immigration Fee Assistance is available for colleagues who need to move to take up the Fellowship. This includes practical support for a spouse or partner.

The culture of the University is open and diverse and we strive to replicate that in our appointments. We are the proud holder of a prestigious Athena SWAN Silver Institution Award recognising our work in supporting the advancement of gender equality in academia. As women and members of ethnic minorities are currently under-represented in posts at this level we particularly encourage applications from members of these groups. We are committed to support individuals looking to return to research after a career break for family, caring or health reasons. Appointment will be full time (although consideration will be given to those who wish to work part-time) and will be tenure track.

Informal enquiries can be made to Samantha.Black@ed.ac.uk

Share this job
     
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Location(s):

Scotland