MSc
1 year full time, 2 years part time
Starts September 2017

Advanced Mechanical Engineering

Mechanical engineering plays an essential role at every level in society.

Our course is for you if you’re a newly qualified or practising engineer looking to improve your expertise in specialist areas. Our MSc will enhance both your theoretical knowledge and practical skills in areas such as:

  • computational fluid dynamics
  • advanced thermofluids
  • advanced manufacture techniques
  • heat transfer.

You’ll develop your academic and professional excellence. Our options cover a range of application areas – you’ll be able to specialise in your area of interest.

A combination of taught modules and project work provides an excellent platform to further your career in mechanical engineering.

“I improved my technical and problem-solving skills, and had the opportunity to attend lab sessions and seminars presented by well-known companies and engineers.” Pavlos Dimitriou
Advanced Mechanical Engineering MSc 

Key facts

  • 88% of our research outputs and 90% of our research impact is categorised as world leading or internationally excellent in the 2014 Research Excellence Framework (REF).
  • We have strong links with industry, well-equipped research and teaching laboratories, and we help you with your professional development.
  • You’ll be supervised by research-active faculty and become part of our vibrant international community.

How will I study?

There are core modules and options, and a supervised project. Modules are taught in the autumn and spring terms, with examination periods in January and May. Your project is undertaken over the spring term and the summer. It leads to submission of your dissertation and project presentation.

Modules are assessed via:

  • laboratory reports
  • essays
  • unseen examinations.

MSc project

You’ll complete a substantial MSc project, which is often practical as well as theoretical. You may have opportunities to work with an industrial partner.

Some of our previous students’ project work has led to journal and conference publication, giving them a head start in their careers.

The project demands individual responsibility and promotes skills deveopment in:

  • project management and planning
  • resourcing and scheduling
  • documentation and communication
  • critical awareness and creative thinking.

Project assessment can include interim reports, presentations and a dissertation. Some projects are undertaken in groups and replicate the type of professional teamwork expected in industry. Topics are generated from the academic research and industrial collaborations in our Department. A member of faculty supervises the project.

Full-time and part-time study

Choose to study this course full time or part time, to fit around your work and family life. Modules for the full-time course are listed below.

For details about the part-time course, contact us at enquiries@enginf.sussex.ac.uk

What will I study?

  • Module list

    Core modules

    Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.

    • MSc Individual Project

      60 credits
      All Year Teaching, Year 1

      The Masters Individual Project is designed to expose you to a real-life engineering problem to which you apply the skills and knowledge acquired in the area of your degree. The work must be completed within budget, using available resources, by a specified deadline, and presented to an audience not necessarily directly familiar with the work you have done. The project is designed to expose you to issues of project management, resourcing, planning, scheduling, documentation, and communication and will demand individual responsibility, critical awareness and creative thinking.

      The project will involve you as an individual working on a particular area of activity relevant to your degree, with the goal of meeting a specific set of objectives. Your project will be supervised by a single member of faculty, who takes on the role of technical director. A second (minor) supervisor is also assigned to provide occasional guidance. The specific objectives will depend on the nature of the project. It is however typical for a project to involve you in developing competency in project management, specification, development of concepts, detailed design, hardware and/or software implementation, testing, analysis, evaluation and communication.

    • Advanced Manufacturing Technologies

      15 credits
      Autumn Teaching, Year 1

      This module focuses on advanced manufacturing technologies for advanced materials. The actual content will be updated as new technology is developed. The initial focus will be on the following topics:

      • concurrent engineering and the software environment that supports it
      • CAD/CAM/CAE
      • computer-integrated manufacture and industrial informatics
      • rapid prototyping and time compression technologies
      • rapid tooling
      • stereolithography, selective laser sintering, direct metal laser sintering (DMLS)
      • laminated object manufacture
      • 3D printing
      • laser manufacturing technology
      • laser micro-machining technology
      • composites
      • casting
      • turbomachinery manufacturing technologies
      • aerospace and automotive manufacturing technologies.
    • Advanced Thermofluids

      15 credits
      Autumn Teaching, Year 1

      • Flow governing equations
      • turbulence: Reynolds-averaged Navier-Stokes equations, mixing length and k-e model
      • integral methods for boundary layers
      • combustion, including radiation in gases
      • unsteady flow
      • measurement techniques
      • lubrication: Reynolds equation, regimes of lubrication
      • compressible flows.
    • Computational Fluid Dynamics

      15 credits
      Spring Teaching, Year 1

      In this module, you cover:

      • basic governing equations of fluid flow
      • discretization of governing equations
      • grid generation
      • turbulence modelling
      • numerical methods for incompressible and compressible flow
      • boundary conditions
      • simulation/analysis of a turbulent flow problem using the commercial software package ANSYS Workbench.

      If you are an MEng or MechE student, you must have already taken the 'Fundamental Computational Fluid Dynamics' module (H3054), in order to take this module.

      If you are an MSc Auto student, you must already have experience of Computational Fluid Dynamics in order to take this module.

    • Heat Transfer Applications

      15 credits
      Spring Teaching, Year 1

      Topics covered include:

      • heat exchanger theory, design, analysis and applications
      • applications of convective heat transfer to changes of phase (boiling and condensation)
      • boundary layer theory, integral equations and scale analysis
      • applications of heat transfer instrumentation, temperature and heat flux, and associated errors.

    Options

    Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests.

    • Automotive Systems

      15 credits
      Autumn Teaching, Year 1

      1. An overview of the automotive systems, operating principles, performance analysis and design process.
      2. Introductions to IC engines, HEV technology, FCV technology and transmission.
      3. Introduction to vehicle dynamics, adhesion, cornering behaviour, roll and roll movement distribution, stability control.
      4. Introduction to chassis, suspension, steering, brake and tyre performance. Introduction to thermal management, body aerodynamics, NVH, electronics and control system including telematics, crashworthiness and crash testing.
      5. Selection of appropriate subsystems, components to meet performance objectives.
      6. Use of various new technologies to improve engine behaviour, downsizing, power output and emissions.

    • Cybernetics and Neural Networks

      15 credits
      Autumn Teaching, Year 1

      A cybernetic device responds and adapts to a changing environment in a sensible way. Neural network systems permit the construction of such devices exploiting information, feedback and control to achieve intelligent interaction and behaviour from autonomous devices such as robots.

      In this module the utilisation of artificial intelligence techniques and neural networks are explored in detail. Software implementation of theoretical concepts will solve genuine engineering problems in dynamic feedback control systems, pattern recognition and scheduling problems. In many instances solutions must be computed in response to data arriving in real-time (e.g. video data). The implications of high speed decision making will be explored.

      The module will explore:

      • neuron models
      • network architectures
      • perceptron and perceptron learning rule
      • synaptic vector spaces
      • linear transformations for neural networks
      • supervised hebbian learning
      • performance optimisation
      • widrow-hoff learning
      • associative learning
      • competitive networks.

      Learning will be supported by laboratories using the Matlab Neural Network Toolbox.

    • Gas Turbines and Turbocharging

      15 credits
      Autumn Teaching, Year 1

      • Thermodynamic cycles for gas turbine engines for shaft power and jet propulsion
      • analysis of cycle efficiency under design and off-design conditions
      • thermodynamic principles of internal combustion engine turbochargers and superchargers
      • matching turbochargers to internal combustion engines.
    • Mechanical Dynamics

      15 credits
      Autumn Teaching, Year 1

      Topics include:

      • state space modelling of dynamic systems
      • self-excited vibration and instability
      • various non-linear phenomena
      • applications of the Finite-Element Method in dynamics
      • the Rayleigh-Ritz method
      • linear model reduction techniques
      • MDOF models of linear damping
      • the effect of damping on natural frequencies and mode shapes
      • forced vibration of general linear MDOF systems: time and frequency domain analysis, solution via DFT
      • review of probability theory and the normal distribution
      • introduction to stochastic processes, correlation functions, and power spectral densities
      • random vibration analysis of linear dynamic systems
      • international standards on machine vibration levels.
    • Testing & Modelling for Automotive Power Systems

      15 credits
      Autumn Teaching, Year 1

      The module concerns engine testing technology and test design, including

      • energy flow calculations
      • the use of sensors including temperature, pressure, force, torque, velocity, displacement, mass flow, vibration, emissions and diagnostic techniques, calibration and metering technology, key instrumentations, ECU functions, interpretation of test data, engine control systems for fuel economy and emission level
      • modelling and simulation methods for power-trains of conventional IC engines, electric vehicles and hybrid power systems
      • energy demand and efficiency in EU and US test cycles
      • optimisation of gears.
    • Advanced Turbomachinery

      15 credits
      Spring Teaching, Year 1

      Mean line design and analysis of turbomachinery blades including axial and radial compressor, axial and radial turbines, and hydraulic turbines. Three dimensional design tools to turbomachinery blades. Analysis and design of horizontal and vertical axis wind turbines. Application of the knowledge acquired in a turbomachinery design project.

    • Finite Element Analysis

      15 credits
      Spring Teaching, Year 1

      Topics include:

      • introduction to finite-element modelling methods and software
      • preparation of the graphical interface
      • setting up a model
      • mesh generation
      • stress analysis
      • nodal analysis and dynamic modelling
      • interfacing with other packages and the use of exchangeable formats
      • checking a solution
      • debugging and validation of the modelling process.
    • Strategic Management - Engineering module

      15 credits
      Spring Teaching, Year 1

      This module explores various aspects of the strategic planning process, including environmental scanning, strategy formulation and implementation, and strategy evaluation and control. Through case study analysis, you will explore how leading firms use strategy to gain competitive advantage, and how they relate strategy with technological and engineering projects and operations.

Entry requirements

A lower second-class (2.2) undergraduate honours degree or above in engineering, mathematics or physics. The undergraduate honours degree should normally be in mechanical or automotive engineering, or in a closely related discipline that has covered topics such as mechanics, dynamics, thermodynamics, heat transfer and fluid flow. Applicants with relevant work experience will also be considered on an individual basis.

If you are a non-EEA or Swiss national we must receive your application by 1 August because you will need to obtain clearance by the UK Government Academic Technology Approval Scheme (ATAS) for this degree. Find out more about ATAS.


English language requirements

Standard level (IELTS 6.5, with not less than 6.0 in each section)

Find out about other English language qualifications we accept.

English language support

Don’t have the English language level for your course? Find out more about our pre-sessional courses.

Additional information for international students

We welcome applications from all over the world. Find out about international qualifications suitable for our Masters courses.

Visas and immigration

Find out how to apply for a student visa


Fees and scholarships

How much does it cost?

Fees

Home: £9,250 per year

EU: £9,250 per year

Channel Islands and Isle of Man: £9,250 per year

Overseas: £18,750 per year

Note that your fees may be subject to an increase on an annual basis.

How can I fund my course?

Postgraduate Masters loans

Borrow up to £10,280 to contribute to your postgraduate study.

Find out more about Postgraduate Masters Loans

Scholarships

Our aim is to ensure that every student who wants to study with us is able to despite financial barriers, so that we continue to attract talented and unique individuals.

Chancellor’s Masters Scholarship (2017)

Open to students with a 1st class from a UK university or excellent grades from an EU university and offered a F/T place on a Sussex Masters in 2017

Application deadline:

1 August 2017

Find out more about the Chancellor’s Masters Scholarship

Sussex Graduate Scholarship (2017)

Open to Sussex students who graduate with a first or upper second-class degree and offered a full-time place on a Sussex Masters course in 2017

Application deadline:

1 August 2017

Find out more about the Sussex Graduate Scholarship

Sussex India Scholarships (2017)

Sussex India Scholarships are worth £3,500 and are for overseas fee paying students from India commencing Masters study in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex India Scholarships

Sussex Malaysia Scholarships (2017)

Sussex Malaysia Scholarships are worth £3,500 and are for overseas fee paying students from Malaysia commencing Masters study in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex Malaysia Scholarships

Sussex Nigeria Scholarships (2017)

Sussex Nigeria Scholarships are worth £3,500 or £5,000 and are for overseas fee paying students from Nigeria commencing a Masters in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex Nigeria Scholarships

Sussex Pakistan Scholarships (2017)

Sussex Pakistan Scholarships are worth £3,500 and are for overseas fee paying students from Pakistan commencing Masters study in September 2017.

Application deadline:

1 August 2017

Find out more about the Sussex Pakistan Scholarships

How Masters scholarships make studying more affordable

Living costs

Find out typical living costs for studying at Sussex.


Faculty

Meet the people teaching and supervising on your course. Research interests in the Department of Engineering and Design are split into five groups. 

  • Creative Technology

    Our Creative Technology research is concerned with the interfaces between humans and digital technology and how these are changing.

    We investigate interaction in the broadest sense, considering it in relation to digital technologies, connected physical artifacts, people’s experience and cognition, and their practices with mobile, immersive, ubiquitous and pervasive computing.

    Miss Pollie Barden
    Lecturer in Product Design
    P.Barden@sussex.ac.uk

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    Dr Natalia Beloff
    Senior Lecturer in Software Engineering
    N.Beloff@sussex.ac.uk

    Research interests: Big Data Analytics, Business models for Digital innovation, E-Business Models, Internet of things, Medical Informatics, Numerical Analysis, Remote Sensing & Earth Observation

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    Prof Peter Cheng
    Professor of Cognitive Sciences
    P.C.H.Cheng@sussex.ac.uk

    Research interests: Cognitive Science, Human computer interaction, Knowledge visualisation / information visualisation / visual analystics, Tactile graphics - cognitive science of, User-authentication - cognitive biometric

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    Mr Giovanni Contreras Garcia
    Lecturer in Product Design
    G.J.Contreras@sussex.ac.uk

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    Dr Judith Good
    Reader in Informatics
    J.Good@sussex.ac.uk

    Research interests: Autism Spectrum Disorders, Game Based Learning, Game Creation for Learning, Learning, Learning Programming, Mobile Computing, Multimedia, Simulations for Learning, technology for autism

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    Dr Kate Howland
    Lecturer In Interaction Design
    K.L.Howland@sussex.ac.uk

    Research interests: End-user programming, Game Based Learning, Game Creation for Learning, Human computer interaction, Interaction design, Novice programming, Participatory Design, Technology Enhanced Learning

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    Prof Ann Light
    Professor of Design & Creative Technology
    Ann.Light@sussex.ac.uk

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    Dr Diego Martinez Plasencia
    Lecturer in Interactive Graphics
    D.Martinez-Plasencia@sussex.ac.uk

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    Dr Gianluca Memoli
    Research Fellow in Human-computer Interaction for Acoustic Levitation
    G.Memoli@sussex.ac.uk

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    Dr Paul Newbury
    Senior Lecturer In Multimedia Systems
    P.Newbury@sussex.ac.uk

    Research interests: Technology Enhanced Learning, Virtual Prototyping

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    Dr Marianna Obrist
    Reader in Interaction Design
    M.Obrist@sussex.ac.uk

    Research interests: Interaction design

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    Ms Diane Simpson-Little
    Senior Teaching Fellow
    D.Simpson-Little@sussex.ac.uk

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    Prof Sriram Subramanian
    Professor of Informatics
    Sriram@sussex.ac.uk

    Research interests: Display Devices, Haptic Technology, HCI - User Interaction, Music and Acoustic User Interfaces, Shape-memory Alloys

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    Dr Phil Watten
    Media Technology Manager
    P.L.Watten@sussex.ac.uk

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    Dr Martin White
    Reader in Computer Science
    M.White@sussex.ac.uk

    Research interests: 3D Reconstructions, Blockchain Applications, Digital Heritage, Healthy Living Applications

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  • Dynamics, Control and Vehicle Research Group

    This group is known internationally for its high-quality automotive research and fundamental work in dynamics and control, with specific interest in:

    • the convergence of control
    • non-linear dynamics
    • structural mechanics
    • signal-processing activities applied mainly to automotive engineering
    • tribological research. 

    It has attracted research grants from, and formed collaborations with, a variety of local, national and international public and industrial sources including:

    • the EPSRC
    • the Royal Society
    • Jaguar Land Rover
    • SKF.

    Prof Julian Dunne
    Professor of Mechanical Engineering
    J.F.Dunne@sussex.ac.uk

    Research interests: Automotive Applications, Dynamic systems, Neural networks, Nonlinear systems, Optimal Control, Vibration (Mechanical)

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    Prof Peter Fussey
    Industrial Research Professor
    P.M.Fussey@sussex.ac.uk

    Research interests: Automotive Applications, Combustion, Control Engineering, diagnostics, Emissions (Combustion), Model Predictive Control, Noise and Vibration Control, Optimal Control, Real-time Software Systems, Software Quality, Systems modelling, Vehicle Emissions

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    Dr Romeo Glovnea
    Reader in Mechanical Engineering
    R.P.Glovnea@sussex.ac.uk

    Research interests: lubrication, mechanical transmissions, Rheology, solid body mechanics, tribology

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    Dr Yevgen Petrov
    Reader in Structural Dynamics
    Y.Petrov@sussex.ac.uk

    Research interests: Aeroelasticity, Damping of Vibration/Motion, Finite Element Methods, Mechanical engineering, Nonlinear Dynamics and Chaos, Optimisation Problems, Rotor Dynamics, Structural dynamics, Vibration (Mechanical)

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    Dr Luis Ponce Cuspinera
    Lecturer in Mechatronics
    L.Ponce-Cuspinera@sussex.ac.uk

    Research interests: Control Engineering

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    Dr Spyros Skarvelis-Kazakos
    Lecturer in Power Electronics
    S.Skarvelis-Kazakos@sussex.ac.uk

    Research interests: Batteries for Energy Storage, community energy, Dist'n of alternative energy vectors, Distributed Energy Resources, Distributed Power Generation, Electric Vehicles, Energy, Energy - Marine and Hydropower, Energy Hubs, Energy network simulation, Energy Storage, HVDC, Intelligent Control, Intelligent Power Systems, multiple energy carriers, Power Electronics, Reliability: Energy generation, Renewable Energy, Small Scale/Domestic Wind Energy Systems, Smart Grids, Sustainable Energy Networks, Virtual Power Plants, Wave Energy, Wind Power

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    Dr Chang Wang
    Senior Lecturer in Mechanical Engineering
    C.J.Wang@sussex.ac.uk

    Research interests: 3D printing, Additive Manufacturing, Biomechanics for Orthopaedics, Computer Aided Modelling, Engineering Design, Engineering Stress Analysis, Finite Element Methods, Mechanical engineering, Solid Mechanics, Structural Engineering

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    Dr William Wang
    Senior Lecturer in Engineering
    W.J.Wang@sussex.ac.uk

    Research interests: Aeronautics

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  • Industrial Informatics and Signal Processing Research Group

    Our research is focused on:

    • digital image processing
    • computer vision
    • optical computing
    • network and control theory
    • medical and biological imaging and image processing, with a particular focus on cancer diagnosis and treatment.

    These activities find application in a range of strategically important areas including product security, biometrics, automated face recognition, event detection and traffic monitoring.

    Dr Phil Birch
    Senior Lecturer
    P.M.Birch@sussex.ac.uk

    Research interests: 3D Microstructures, Adaptive Optics, Biomedical Signal Processing, Biometric Imaging and Analysis, Coherent Optics, Computer Vision & Image Processing - Pattern Recognition, Computer Vision - Tracking, Diffractive Optics, Lasers - Biomedical Optics, Lasers and Optics, Light, Microscopy - Optical, Optical Computing, Optics - Biomedical, Optics - Imaging, Photonics

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    Prof Chris Chatwin
    Professor in Engineering
    C.R.Chatwin@sussex.ac.uk

    Research interests: Communication technology, Computer Middleware, Computer Systems and Architecture, Computer Tomography (CT), Computer Vision & Image Processing - 3D, Computer Vision and Image Processing - Security, Electrical Impedance Tomography, Functional imaging for health, Health Informatics, Image and Vision Computing, Lasers and Optics, Manufacturing Systems and Integration, Mathematical modelling, Medical and health interface, Medical Informatics, Neural networks, Neurocomputing, Ontologies, Optical Communications, Optical Fibres, Satellite and Microwave Systems, Space science, Tomography for healthcare

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    Dr Tai Yang
    Reader in Computer & Control Engineering
    T.C.Yang@sussex.ac.uk

    Research interests: Wind Power

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    Dr Rupert Young
    Reader in Engineering
    R.C.D.Young@sussex.ac.uk

    Research interests: Computer Vision & Image Processing - Pattern Recognition, Computer Vision and Image Processing - Security, Genetic Algorithms (CS), Holography Instrumentation, Medical Informatics, Photonics

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  • Sensor Technology Research Centre

    The Sensor Technology Research Centre (STRC) is a world-leading centre focusing on sensor technologies, mobile and wireless technologies and their applications.

    The research attracts funding from:

    • the EPSRC
    • TSB
    • the EU
    • a number of industrial collaborators.

    Dr Falah Ali
    Reader in Digital Communications
    F.H.Ali@sussex.ac.uk

    Research interests: Mobile and wireless communications, Vehicle communications, Wireless sensor networks

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    Dr Anna Barnett
    Senior Lecturer
    A.Barnett@sussex.ac.uk

    Research interests: Astronomy & Space Science Technologies, Gamma Ray Astronomy, III-V - Quantum Devices, III-V Arsenides, III-V Nitrides, III-V Optoelectronic Circuits, III-V Semiconductors, III-V Semiconductors (Optoelectronic), III-V Thin Film Arsenides and Phosphides, Instrumentation for Particle Physics Or Astronomy, Instrumentation, sensors and detectors, Optoelectronic Detectors and Receivers, Photodetectors, Photodiode, Planetary science, Radiation Effects on Instrumentation, Semiconductor Devices, Semiconductor Electronic Structure, Semiconductor Structure/Growth, Silicon Semiconductors, Space science, Spaceflight, X-ray Astronomy, X-ray Fluorescence, X-ray Imaging

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    Dr Niko Munzenrieder
    Lecturer in Sensor Technology
    N.S.Munzenrieder@sussex.ac.uk

    Research interests: Clean room Processing, Flexible Electronics, Large-area Electronics, Oxide Semiconductors, Semiconductor Technology, Thin-film Transistors

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    Prof Maziar Nekovee
    Professor
    M.Nekovee@sussex.ac.uk

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    Dr Menguc Oner
    Lecturer in Communications and Signal Processing
    M.M.Oner@sussex.ac.uk

    Research interests: blind estimation, Cognitive Radio, signal identification, spectrum sensing, Statistical Signal Processing, Wireless Communications

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    Prof Robert Prance
    Research Professor
    R.J.Prance@sussex.ac.uk

    Research interests: Engineering Design

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    Dr Daniel Roggen
    Reader In Sensor Technology
    D.Roggen@sussex.ac.uk

    Research interests: Activity recognition, Ambient intelligence, Applied machine learning, Assistive Technologies for Rehabilitation, context awareness, Context recognition, Embedded systems, Human-Computer Interactions, Mobile Computing, Mobile Robots, Sensor technologies, Smart Sensors, Ubiquitous Computing, Wearable computing

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    Dr Zhengguo Sheng
    Lecturer in Advanced Networks and Communications
    Z.Sheng@sussex.ac.uk

    Research interests: Cloud computing, Communication and signalling, Internet of things, Machine-to-Machine, Mobile and wireless communications, Power line comunications, Vehicle communications, Wireless Communications, Wireless Sensor Networks (Comms)

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  • Thermo-Fluid Mechanics Research Centre

    The Thermo-Fluid Mechanics Research Centre (TFMRC) is a dedicated research laboratory specialising in flow and heat transfer, and has substantial experimental and computational facilities.

    It has a proven track record in research, particularly in relation to gas turbine engines, and has attracted significant funding over previous years from industry, the European Commission and the EPSRC to conduct cutting-edge research on a wide range of engineering problems. It is now engaged in a major collaboration with GE Aviation.

    Dr Vasudevan Kanjirakkad
    Lecturer in Experimental Thermofluid Mechanics
    V.Kanjirakkad@sussex.ac.uk

    Research interests: Experimental Aerodynamics, Heat Transfer, Turbomachinery

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    Prof Martin Rose
    Professor of Mechanical Engineering
    M.G.Rose@sussex.ac.uk

    Research interests: Combustion, Computational Fluid Dynamics, Fluid Mechanics (Continuum), Gas Turbines, Internal Aerodynamics, Turbomachinery, Unsteady Flow

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    Dr Esra Sorguven
    Senior Lecturer in Fluid Mechanics and Thermodynamics
    E.Sorguven@sussex.ac.uk

    Research interests: Aero-acoustics, Cardiovascular systems, Fluid Dynamics, Large Eddy Simulation, Thermodynamics, Turbomachinery

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Careers

There is a demand for highly qualified engineers worldwide.

Graduates of our courses in mechanical and automotive engineering have the choice of careers in the transportation, manufacturing, energy-supply and sustainable-energy industries, telecommunications, electronics, automotive and control.

Destinations of recent graduates include:

  • mechanical applications engineer with Maclaren
  • Siemens Industrial Turbomachinery
  • Rydon (construction)
  • Ricardo
  • Jaguar Land Rover.

Graduate destinations

100% of students from the School of Engineering and Informatics were in work or further study six months after graduating. Recent Engineering students have gone on to jobs including:

  • technician, Draeger
  • RF engineer, Elebram Systems
  • researcher, University of Oxford.

(EPI, Destinations of Leavers from Higher Education Survey 2015 for postgraduates)

Working while you study

Our Careers and Employability Centre can help you find part-time work while you study. Find out more about career development and part-time work