The aerospace industry is at the forefront of modern engineering and manufacturing technology and there is an expanding need for highly skilled chartered Aerospace Engineers.
If you are looking to pursue a career in aerospace engineering this course will enable you to apply your skills and knowledge of engineering devices and associated components used in the production of civil and military aircraft, spacecraft and weapons systems.
This module has been accredited by the Institution of Mechanical Engineers. On graduation you be able to work towards Chartered Aerospace Engineer status which is an independent verification of your skills and demonstrates to your colleagues and employers your commitment and credentials as an engineering professional.
The course will be taught by a series of lectures, tutorials, computer workshops and laboratory activities.
Some modules will include a structured factory visit to illustrate the processes and techniques and to enable investigations to be conducted.
Engineers from the industry will contribute to the specialist areas of the syllabus as guest lecturers.
The coursework consists of one assignment, and two laboratory exercises.
Mechanical Lab – This lab is used to understand material behaviour under different loading conditions and contains a tensile test machine and static loading experiments – typical laboratory sessions would include tensile testing of materials and investigation into the bending and buckling behaviour of beams.
Aerodynamics Lab – Contains low speed and supersonic wind tunnels – typical laboratory experiments would include determining the aerodynamic properties of an aerofoil section and influence of wing sweep on the lift and drag characteristics of a tapered wing section.
Composite Material Lab – This lab contains wet lay-up and pre-preg facilities for fabrication of composite material test sections. The facility is particularly utilised for final year project work.
Control Dynamics Lab – Contains flight simulators (see details below) and programmable control experiments – typical laboratory sessions would include studying the effects of damping and short period oscillation analysis, forced vibration due to rotating imbalance, and understanding the design and performance of proportional and integral controllers.
Merlin MP520-T Engineering Simulator
Elite Flight Training System
This is a highly valued qualification and as a graduate you can expect to pursue careers in a range of organizations around the world such as in aerospace companies and their suppliers, governments and research institutions.
You may consider going on to further study in our Engineering 2050 Research Centre which brings together a wealth of expertise and international reputation in three focussed subject areas.
Research at the centre is well funded, with support from EPSRC, TSB, DoH, MoD, Royal Society, European Commission, as well as excellent links with and direct funding from industry. Our research excellence means that we have not only the highest calibre academics but also the first class facilities to support the leading edge research projects for both post-graduate studies and post-doctoral research.
Visit http://www.cse.salford.ac.uk/research/engineering-2050/ for further details.
A higher degree by research involves training in research methods and systematic, high level study of a research project. The nature of the work and the time it takes to finish the research means a research degree is demanding and needs great commitment.
You must present your results in a thesis, explain the methods used in your research and defend them in an oral examination.
To get an MPhil you must critically investigate and evaluate an approved topic and display an understanding of suitable research methods.
Materials and Engineering Research Institute (MERI)
MERI is a multi-disciplinary research institute encompassing four research centres each with their own specialist groups operating within them. We undertake high quality academic research across a range of disciplines and apply this research knowledge in a commercial and industrial context. Research areas include • polymers and composites • solar energy • structural integrity and corrosion • functional coatings • simulation and modelling • robotics.
In the 2008 Research Assessment Exercise we were the leading post–92 university in metallurgy and materials (UoA29). 75 per cent of our staff were judged to be internationally leading and we obtained a Times Higher Education average score of 2.15 reflecting the quality of our work and world class staff.
Our staff include • chemists • materials scientists • physicists • computer scientists • mechanical, electronic and electrical engineers, all working on individual or collaborative projects shared between research centres. Supported by a £6m equipment base, which will shortly undergo a £4m refurbishment, this inter-disciplinary approach enables us to solve complex problems ranging from fracture of artificial implants through to designing surfaces that can withstand frictional temperatures in excess of 1,000 degrees centigrade. Solutions to these kinds of problems put MERI at the top in terms of industrial collaboration.
The Materials Research and Analysis Service (MARS) is also a key strength in the research institute, established to provide regional business with access to research facilities and analysis, which enhances the capability of companies in terms of new and improved products.
Evidence of MERI’s research strength is reflected in the patent portfolio that currently consists of 22 granted patents with another 17 applications in progress.
MERI is made up of five centres of excellence
Training and development
An extensive range of training and development opportunities are available to doctoral researchers through the doctoral skills training series and MERI-based training.
Skills training for postgraduate research
This course will comprise 4 main sessions:
All of the sessions are mandatory for all MERI research students.
Weekly seminar programme
Speakers are invited weekly to discuss their latest research with our staff and students.
This session introduces you to the principle of research ethics and the Sheffield Hallam procedures for ethical clearance. It will also involve you doing an initial ethic checklist for your research project and introduce the online EPIGIUM module ethics 1, which all Sheffield Hallam research students must complete.
RefWorks is a web-based bibliographic system with which you can build up a database of all of your reference material. It is flexible and very powerful, particularly when it comes to outputting reference lists for papers and thesis.
Introduction to bibliographic databases
As a researcher it is vital to be able to access relevant high level information. Here you learn more sophisticated information retrieval skills and see how to use subject specific databases relevant to your research area.
Health and safety for postgraduate research
The session aims to provide clear health and safety guidelines for new postgraduate researchers around personal safety and safety of others within the university environment, including and laboratories & workshops.
Advanced measurement techniques
This module aims to equip you with the skills and knowledge to make informed decisions on experimental materials analysis techniques. A number of techniques are demonstrated, the emphasis being on what each can achieve and the potentials for synergy from combining results obtained using from different techniques. This promotes effective decision making in research planning and operation, as well as a broad understanding of what different approaches can be used for.
MATLAB is a powerful programming language for numerical computations. It is employed in a range of industrial and academic environments. MATLAB has numerous built-in functions for engineering, physical, graphical, mathematical and computing applications. Besides this it has a variety of specialised toolboxes for specific applications, such as control systems, machine vision, signal processing and many others. MATLAB also has the symbolic toolbox that allows operating on symbolic expressions. In the first sessions we will cover MATLAB fundamentals, and the following sessions will be tailored to the specific research needs of attendees.
MERI research symposium event
The MERI Research Symposium is an excellent opportunity for both staff and students who are either active researchers, or who are interested in engaging in research, to meet with colleagues from across the faculty, to raise awareness of current research projects. The event will incorporate talks from academic staff and second year MERI PhD students, with poster presentations from final year undergraduate engineering students and first year MERI students.
This course is aimed at first year students to give tips and techniques on how to prepare for the MERI Research Symposium Event, at which they will present a poster.
All second year students are required to give a talk at the MERI Research Symposium Event.
Thesis followed by oral examination
Research degrees are a vital qualification for most academic careers, and for professional specialisation and development in an existing or planned career. The rigorous analytical thinking they involve also demonstrates ability to potential employers in all areas of work.
This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.
State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.
Students also have the chance to substantially expand their programming skills through projects they undertake.
Read about the experience of a previous student on this course, Gianmarco Addari.
This programme is studied full-time over 12 months and part-time from 24 to 60 months. It consists of eight taught modules and a standard project.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.
Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment.
The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.
An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.
Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).
Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.
Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.
Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.
We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.