About the role
Post Title: Research Fellow in Robotics and Deep Learning
SBU/Department: School of Physics, Engineering and Computer Science/Computer Science
FTE: 1 FTE (working 37 hours per week)
Duration of Contract: Fixed term (2 years/24 months)
Salary: UH7 £37,099 to £44,263 pa by annual increments on achieving designated skills and experience
Annual Leave: 35 days plus standard public holidays and an additional 4 days including the closure of our office between Christmas and New Year
Location: College Lane Campus, Hatfield
Main duties and responsibilities
We are seeking a full-time Research Fellow to join the Robotic Research Group (RRG) at the School of Physics, Engineering and Computer Science at the University of Hertfordshire to conduct high-quality research relevant to the human activity and intention detection using multimodal sensory information, including robot-mounted sensors.
The successful candidate is expected to build on the success of our previous projects in physiological sensing and classification, as well as robotic for ambient assisted living, and to establish a programme of research activity working collaboratively with colleagues at the University of Hertfordshire and NHS partners in a recently funded project, Hospital@home project as appropriate. The project aims to utilise robots and sensors in the home of virtual ward participants in order to provide personalised care post discharge from hospital.
You will contribute to the preparation and execution of experiments, as well as analysis of results and publications. Research Fellow in Robotics and Deep Learning will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders.
You will be required to travel to field trials, meeting with participants and conducting experiments and to attend conferences for demonstrations and exhibitions. In addition to this, you will be expected to attend project meetings within UH, nationally and internationally, as appropriate.
Skills and experience required
Strong theoretical background in Human-Robot Interaction and experience with experiment design, organisation of experiments including research ethics application, as well as conduct and analysis of interaction studies. Ideally, experience with quantitative and qualitative analysis and statistical analysis/tools in interaction studies. Applicants must be proficient in both written and oral English and have excellent interpersonal and presentation skills. Experience with human activity monitoring and intention detection is elemental to this role. This entails a working knowledge of programming languages such as Python/Java/C++.
Qualifications required
Educated with a PhD degree(or expectation that one will soon be awarded with viva completed) in a relevant subject areas such as robotics, mechatronics, machine learning or computer science.
Please view the job description and person specification for a full list of the duties and essential criteria. Please attach a personal statement showing clearly how your skills and experience match the Person Specification.
An appointment to this role may require an Academic Technology Approval Scheme (ATAS) certificate.
This post cannot be visa sponsored unless the applicant has a PhD / Doctorate.
Contact Details/Informal Enquiries: Professor Farshid Amirabdollahian, [email protected]
Closing Date: 20 January 2025
Interview Date: 28 January 2025
Reference Number: 062655
Date advert placed: 09 December 2024
Our vision is to transform lives: UH is committed to Equality, Diversity and Inclusion and building a diverse community. We welcome applications from suitably qualified and eligible candidates regardless of their protected characteristics, and recognise there are different ways applicants may achieve the criteria in this document. We offer a range of employee benefits including generous annual leave, flexible location opportunities within the UK, discounted Sports Village memberships and free Active Staff sessions, personal and professional development and family-friendly policies. #GoHerts
How to apply
Read the full posting, then apply through the employer's own site. Applications are handled by the institution, not by AcademicGates.