Research Fellow in Neuromorphic Machine Learning

University of Hertfordshire - School of Computer Science

FTE: Full Time working 37 hours per week (1.0 FTE)

Duration of Contract: 5 Years from March 2018 

Qualifications required:

Very strong PhD degree or equivalent experience in a quantitative research-oriented discipline (for example, computer science, mathematics, physics, or computational neuroscience), excellent and demonstrable programming skills in at least one major computer language, and demonstrable PhD-level knowledge in either Machine Learning or Spiking Neural Networks. Experience in GPU computing or other massively parallel approaches is a plus.

Description of the research activity and area:

We are looking for a candidate with a keen tenacity in pushing forward the boundaries of future computing. The successful candidate will join our efforts to advance Neuromorphic Computing, that is, computing with brain-inspired neural computer systems. The research project may include for example the design, implementation and evaluation of inference algorithms on neuromorphic hardware systems (e.g., BrainScaleS, SpiNNaker), GPU-accelerated brain simulations, Neurorobotics (i.e., interfacing neuromorphic approaches with sensors and actuators), or any combination of the above.  

The research is based in the Biocomputation group, which has a strong international reputation in exploring computation in the brain, and translating these processes to in-silico applications. We are a member of the EU flaghsip initiative “Human Brain Project” and there will be opportunity to collaborate with other groups across Europe on neuromorphic computing, Neurorobotics, and other topics in Neuroscience in general.

The candidate is expected to publish research articles of high significance, rigour, and originality, thus contributing to the reputation of the Biocomputation group and the School of Computer Science. In accord with the CONCORDAT for professional development of researchers, the candidate may be afforded the opportunity to undertake a limited amount of appropriate teaching (upon mutual agreement).

Skills and experience needed:

The fellow will have established him/herself as an independent researcher, capable of establishing a programme of research activity within the scope of the project. S/he will have excellent oral and written communication skills in both spoken and written English and a track record of publications in high-impact journals. The Fellow will be expected to build capacity in the area of Neuromorphic Machine Learning and participate in attracting external funding, previous success being a desirable attribute. S/he should be able to establish good working relationships, and work closely with members of the Biocomputation group and the broader School of Computer Science, at the University of Hertfordshire and with partner organisations as appropriate. The fellow should have knowledge of research methodology appropriate for the subject area.

Contact Details: Informal enquiries can be made to Dr Michael Schmuker, Senior Lecturer (Assistant Professor) email: tel:  +44 1707 286376.

The university offers a range of benefits including a pension scheme, professional development, family friendly policies, child care vouchers, a fee waiver of 50% for all children of staff under the age of 21 at the start of the course, discounted memberships at the Hertfordshire Sports Village and generous annual leave

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South East England