Duration of Contract: Fixed term (5 years)
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 Adaptive Systems Research Group (ASRG) at the School of Physics, Engineering and Computer Science at the University of Hertfordshire. The role involves conducting research that breaks new ground beyond the current state of the art in adaptive systems, including, but not limited to AI and learning systems and/or robotics. Research topics can include, but are not limited to novel approaches to structure learning, intrinsic motivation, fundamentals of cognition, and the sensorimotor loop, as well as embodied and adaptive robotics.
The Research Fellow will also be expected to contribute to the formulation and submission of research publications and proposals, as well as help manage and direct complex and challenging projects in this area as opportunities arise. You will establish a programme of research activity working collaboratively with colleagues at UH and partner organisations, and contribute to the preparation of proposals and applications for funding to external bodies, such as the European Commission and the UK Research and Innovation (UKRI). Additionally, you will create opportunities to maximise research activities, capturing relevant evidence to support impact and engaging with external partners and stakeholders.
Skills and Experience Required
You will have outstanding programming skills in at least one major computer language, as well as expertise in at least one strong mathematical/quantitative or robotics background. Excellent interpersonal and presentation skills are essential, along with proficiency in both written and oral English.
You must be able to work independently and in a structured manner, demonstrating good collaborative skills. A strong theoretical and programming background in AI, machine learning, mathematical modelling (including physics-based models), and/or robot development (hardware and/or software) is desirable. Experience with probabilistic modelling, stochastic control, information theoretic AI, Artificial Life, or related topics is also a definite plus.
Qualifications Required
Educated with an undergraduate honours degree (or equivalent) and a PhD (or equivalent qualification), or close to completion of PhD (no more than 3 months prior to viva) in a relevant subject area, or equivalent experience.
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: Prof. Dr. Daniel Polani, d.polani@herts.ac.uk
Interview Date: TBC
Salary: £37,999 to £45,163. Grade UH7, per annum, by annual increments.
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