Research opportunities
You can study an MPhil over the course of one year and a DBA or PhD over three years.
At the moment, research degrees are offered in topics which match the interests and expertise of our staff and depend upon staff availability. Please get in touch for more information.
Master of Philosophy (MPhil)
This qualification requires a minimum of 12 months full-time study or 21 months part-time.
You're required to follow an approved scheme of research and coursework and to submit a thesis based on this work. This may include original research, a critical review of existing knowledge or a combination of both.
Doctoral studies (PhD & DBA)
Full-time study for a doctoral degree normally lasts not less than three years. A part-time option is available. The minimum period of part-time study is set according to how much time you're able to devote to study.
You'll complete a programme of coursework and submit a thesis with the results of your research. It must make a "distinct contribution to knowledge". There's also a viva oral examination.
In both programmes, you're expected to focus on academic learning and developing practical skills. In the PhD the emphasis is on the academic learning and in the DBA on practical skills.
Research areas
We have a flourishing community of around 40 research students in the department. Our students come from many different countries and work on a variety of topics. All full-time research students (and some part-time students):
- have full access to computing facilities, email and internet
- undertake a research methodology course during their 1st year
The department organises an annual residential workshop for research students and supervisors. It's held over two full days, involving discussion of individual projects and general issues such as research strategy, time management and writing-up.
There are regular departmental research seminars, with staff and research students both attending and contributing. Other events, academic and social, are often organised by the students themselves.
Strathclyde Business School
We offer an excellent academic environment where you can pursue your research degree.
You're required to:
- Attend the Strathclyde Business School Faculty Research Methodology Programme. Though most achieve higher, you need to gain a Certificate level. It's four modules over two to three days each. If you're part time, you'll spread these over two years.
- Attend our Annual Away Day for PhD students. This is combined with the Annual Review, held usually in October/ November.
- Ensure regular meetings and contact with your supervisors.
Full-time students
You'll have access to computing, printing, email and office facilities. You're expected to be in the Department of Management Science on a regular basis. You'll also attend the department's research seminar series as well as other occasional workshops.
Part-time students
You'll have hot desking facilities giving you regular access to the department. This'll help you integrate better with other students and staff. You're required to attend the department for at least ten days per year. This is on top of the Research Methodology Programme.
Potential applicants should note that there is no dedicated distance-learning programme.
Exploring innovation capability in the UK Advanced Manufacturing value chain
To carry out an innovation audit of firms at all levels of UK Advanced Manufacturing Value Chain using innovation and operations management and pairing this with the Theory of Constraints Philosophy.
Deadline:
1 October 2019Funding:
fundedNovel Path Planning Algorithms and Smart Navigation Strategies of Multiple Autonomous Robots for the Visual Inspection of Asset Integrity in Confined Space
This project is to fundamentally investigate the novel path planning algorithms and smart navigation strategies for developing a feasible solution to the autonomous visual inspection and assessment of internal and external surface conditions in confined spaces through the use of a MAR equipped with on-board cameras.
Deadline:
30 August 2019Funding:
fundedNovel Artificial Intelligence (AI) techniques in dealing with manufacturing variations for automobile assembly systems
Part variations in geometry and surface finishes in manufacturing are a common phenomenon and can pose a challenge in assemblies of these parts with bigger than acceptable variations in traditional manufacturing.
Deadline:
30 August 2019Funding:
fundedOptimisation of coil windings for electrical machines
One of the key areas of research for this PhD will be material selection for coils, with copper being the standard option currently used. Focus will be improved performance of the coils within the electrical, while reducing the input weight to ensure the technology is applicable to the aerospace sector.
Deadline:
30 August 2019Funding:
fundedUltrasonic assisted machining of composite materials
It is envisioned that the candidate improves the current readily available hardware solution for a more robust measurement method for on line temperature measurement in milling process for solid carbide tools.
Deadline:
28 July 2019Funding:
fundedIntelligent Reverse Engineering
The primary objective of the PhD will be to 3D scan a component, retrieve the resulting point cloud in its raw format and have an artificial intelligence robot convert the point cloud into a 3D model of a standard expected of an as designed geometry.
Deadline:
30 August 2019Funding:
fundedAdditive Manufacturing of Ti alloys for medical implant applications
The objective of this PhD is to apply and compare two different AM methods of the laser metal deposition process and the selective liquid melting to produce an optimal biocompatible surface.
