[robocup-worldwide] Principal Lecturer/Reader in Artificial Intelligence at UH

[Daniel Polani]

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		     University of Hertfordshire
	 Principal Lecturer/Reader in Artificial Intelligence

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School of Engineering and Computer Science

  - FTE: 1.0 fte working 37 hours per week

  - Duration of Contract: Permanent

  - Salary: UH9 GBP 50,132 to GBP 59,828 pa on achieving designated
    skills and experience

  - Location: College Lane, Hatfield, UK

The School of Engineering and Computer Science hosts the University of
Hertfordshire Robot House, a facility ubiquitously equipped with
low-cost sensors providing a realistic environment for experiments
with robotics in a smart home; a fully-fledged RoboCup lab for
development of humanoid robots participating in international
competitions, and a large variety of different robotic platforms,
including iCub and Baxter.

Applications are invited for an exceptionally well qualified Reader of
Artificial Intelligence of international standing who shares our
commitment to research-informed teaching, embraces the research impact
agenda, and values collegiality. Applicants will strengthen existing
activity within the Department and develop it further, enhancing the
research strengths and external reputation of the Department of
Computer Science and contributing significantly to its performance in
future research assessments and collaborations with public and
commercial partners. The successful applicant will connect to and
complement the research conducted by the Adaptive Systems Research
Group within the Centre for Computer Science and Informatics Research.

We encourage applications from researchers across a wide spectrum of
AI, including emerging topics in AI. Possible fields include, but are
not limited to:

  - Machine learning: reinforcement learning, Deep Methods,
    statistical methods, large scale data modelling/intelligent
    processing and high-performance learning algorithms

  - Robotics: embodied and/or cognitive robotics, HRI, robot safety,
    emotional/social robots, smart homes and sensors, sensor fusion,
    assistive robotics

  - Complex Systems: collective intelligence, adaptive, autonomous and
    multi-agent/robot systems, collective and swarm intelligence,
    social and market modelling, adaptive, evolutionary and
    unconventional computation

  - Mathematical Modelling: statistical modelling,
    information-theoretic methods, compressive sensing, intelligent
    data visualization, multiscale models, optimization

  - Emerging Topics in AI: computer algebra and AI, topological
    methods (e.g. persistent homology), modern topics in games and AI

  - AI and applications: financial modelling, AI and
    biology/physics/cognitive sciences

  - Foundations: fundamental questions of intelligence and
    computation, emergence of life/intelligence, Artificial Life

  - As well as providing research supervision at PhD and MSc level,
    the Department of Computer Science offers modules in Artificial
    Intelligence, machine learning, neural and evolutionary computing,
    as well as Artificial Life on the BSc and MSc
    programmes. 

Applicants will be committed to a strong research and
research-informed teaching agenda and will actively contribute to
increase research impact of the department, in the enthusiastic,
welcoming and collegiate environment of the department. Applicants
will be expected to contribute to the teaching in the department.

Applicants must hold a PhD (or equivalent) in a relevant subject,
possess excellent communication skills in English, an internationally
excellent research record and reputation, including publications of
the highest quality suitable for submission to the REF (UK Research
Excellence Framework). Applicants are expected to demonstrate standing
in the research community, along with, and success in
research/commercial income generation, engagement with the research
impact agenda, and academic leadership. The reader will have
opportunity to contribute actively to interdisciplinary research
projects at the department and university level.

Readership appointment 

The Appointment Panel for the post will be constituted in such a way
that if the successful candidate fulfills the University's Readership
criteria, then the Panel may award a Readership title to the
successful candidate.

For a readership appointment, the names and contact details of three
academic referees of appropriate standing in the field are required
who may be approached by the University prior to interview. For
further guidance regarding the Readership process, please see the
supporting Readership Policy.

We particularly welcome female applicants as they are
under-represented within the School at these levels.

Contact Details/Informal Enquiries: Informal enquiries may be
addressed to Dr Simon Trainis, Head of Department of Computer Science
by email only, S.A.Trainis at herts.ac.uk. Please note that applications
sent directly to this email address will not be accepted.

  - Closing Date: 5th June 2019
  - Interview Date: 27th June 2019
  - Reference Number: 016194
  - Date Advert Placed: 8th May 2019

Please be aware that the system will be unavailable due to essential
maintenance from 29 May to 2 June 2019. You will not be able to access
this vacancy or your applicant record during this period. Normal
service will resume on 3 June 2019.

The University offers a range of benefits including a pension scheme,
professional development, family friendly policies, 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.

Apply at: http://www.herts.ac.uk/contact-us/jobs-and-vacancies