Professor in Computational and Digital Engineering

Heriot-Watt University - The School of Engineering and Physical Sciences

The School of Engineering and Physical Sciences has an international research reputation and close connections to the professional and industrial world of science, engineering and technology. Our research ranges from fundamental chemical, physical and biological sciences through to engineering, with applications in biology, medicine, energy, photonics, chemical and biochemical processes, and manufacturing amongst others, all of which are supported by strong external funding.  We have around 120 full-time academic staff driving this research activity, based in 5 research institutes:  Institute of Mechanical, Process & Energy Engineering; Institute of Chemical Sciences; Institute of Photonics & Quantum Sciences; Institute of Sensors, Signals & Systems; and the Institute of Biological Chemistry, BioPhysics & BioEngineering. Together with the University of Edinburgh we represent the “most powerful” General Engineering unit in the UK, as measured by the recent REF.

The Computational and Digital Engineering (CADE) theme has a reputation for fundamental and applied research in mechanical engineering, computational engineering and interactive digital engineering, building on the strengths and expertise of our internationally recognised academic staff.  CADE represents, amalgamates and synergises the research strengths and expertise of a wide range of academics within IMPEE, particularly across the domains of modelling, computational physics, analysis, human factors, digital engineering, visualisation, knowledge capture and robotics, and product and process development, providing better opportunities for internal and external cross disciplinary collaborations across the product life cycle.  Applications are welcome from individuals whose core disciplines are in the areas of mechanical engineering, chemical engineering, electrical engineering or are in other relevant engineering domains or applied sciences.

Candidates will be expected to have a strong track record of research in one or more of the following engineering-related research areas:

  • Dynamics & vibration (e.g. application areas in transport, rotating machinery, HPC, parallelisation);
  • Computational modelling (e.g. multi-scale modelling, upscaling/down-scaling, optimization, signal processing, HPC, empirical/numerical modelling/solvers, physics-based modelling);
  • Digital engineering (e.g. simulation/animation/visualisation, interaction, HPC, pervasive/ubiquitous computing, physics-based modelling);
  • Design and manufacture (e.g. product/process/service engineering systems, design methods, manufacturing processes and systems, quality methods/systems, CAE);
  • Engineering human factors (e.g. HCI, user experience, ergonomics, social/ethical engineering, cognitive sciences, behavioural analysis, serious games);
  • Robotics and autonomous systems (e.g. sensors, actuators, system integration, precision engineering, micro-assembly, manufacturing informatics, advanced manufacturing technologies).

The successful candidate will have demonstrated leadership skills, including the leading of research groups and groups of academic staff. They will be expected to make strategic input to maximising research funding opportunities and teaching initiatives within the Institute and more widely within the School.

The successful candidate will have a strong track record in research (including sustained external research funding, high-quality publications and the forming of research teams) in one of the above Computational and Digital Engineering-related research areas. We also need individuals who can make a positive contribution in innovative teaching in our core areas or mechanical engineering and/or chemical engineering. We would also expect to see evidence of a strong collaborative network with other academics and industry, government or other engineering practice, and the potential to complement the existing portfolio of the Institute.

Closing date: 11 Dec 2016 22:59

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