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Dr Vassilis Cutsuridis - Programme Leader
Dr Vassilis Cutsuridis is an expert at the interface between AI and Neuroscience. He is broadly interested in reverse engineering how the brain and mind work in order to understand the neural circuits and systems that give rise to mental experience and to extract the neural algorithms for the design and development of more efficient intelligent methods and systems for complex data analysis. After a 10 years in the software industry, he returned to academia in 2006 to hold research and teaching positions in Europe, UK, US, and China.
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Welcome to MPhil/PhD Computer Science
This programme offers the opportunity to work alongside academic staff whose research has been internationally recognised. Academics staff at all levels of seniority and research students, can benefit from a supportive community and environment in which to share ideas and experiences with the aim of advancing knowledge.
Research undertaken in the School includes advancements in computational neuroscience, biosignal analysis, machine learning, data analytics, robotics, medical imaging, AI in healthcare, games computing, VR/AR environments, human-computer interaction, agriculture, and food production.
Students can benefit from a comprehensive programme of training designed to develop key research skills and methodologies. Access is provided to industry-standard equipment and software to aid students' investigations, including VR-capable computers with headsets (e.g. HTC Vive and Oculus Rift), specialist development environments, and engineering design and simulation platforms. A supervisory team of experienced academics is available to provide guidance on students' studies and careers, and also for publishing work in journals and presenting at conferences.
Welcome to MPhil/PhD Computer Science
This programme offers the opportunity to work alongside academic staff whose research has been internationally recognised. Academics staff at all levels of seniority and research students, can benefit from a supportive community and environment in which to share ideas and experiences with the aim of advancing knowledge.
Research undertaken in the School includes advancements in computational neuroscience, biosignal analysis, machine learning, data analytics, robotics, medical imaging, AI in healthcare, games computing, VR/AR environments, human-computer interaction, agriculture, and food production.
Students can benefit from a comprehensive programme of training designed to develop key research skills and methodologies. Access is provided to industry-standard equipment and software to aid students' investigations, including VR-capable computers with headsets (e.g. HTC Vive and Oculus Rift), specialist development environments, and engineering design and simulation platforms. A supervisory team of experienced academics is available to provide guidance on students' studies and careers, and also for publishing work in journals and presenting at conferences.
How You Study
Students on this programme usually work under the guidance of one main supervisor and one secondary supervisor throughout their studies, and will have access to a range of the School's facilities.
Training in research methods features in the early part of the programme and students are encouraged to present and publish their findings in national and international conferences and journals.
Due to the nature of postgraduate research programmes, the majority of time is spent in independent study and research. Students will have meetings with their academic supervisor, but the frequency of these will vary depending on individual requirements, subject area, staff availability, and stage of programme.
For more detailed information, please contact Programme Leader, Dr Vassilis Cutsuridis at vcutsuridis@lincoln.ac.uk.
Additional development and training courses are offered through the University of Lincoln Doctoral School. Find out more at:
https://doctoralschool.lincoln.ac.uk/
How You Study
Students on this programme usually work under the guidance of one main supervisor and one secondary supervisor throughout their studies, and will have access to a range of the School's facilities.
Training in research methods features in the early part of the programme and students are encouraged to present and publish their findings in national and international conferences and journals.
Due to the nature of postgraduate research programmes, the majority of time is spent in independent study and research. Students will have meetings with their academic supervisor, but the frequency of these will vary depending on individual requirements, subject area, staff availability, and stage of programme.
For more detailed information, please contact Programme Leader, Dr Vassilis Cutsuridis at vcutsuridis@lincoln.ac.uk.
Additional development and training courses are offered through the University of Lincoln Doctoral School. Find out more at:
https://doctoralschool.lincoln.ac.uk/
Research Areas and Topics
The School of Computer Science undertakes a blend of fundamental, applied, and interdisciplinary research. There are particular strengths in computational neuroscience, machine learning, data analytics, robotics, medical imaging, AI in healthcare, and many aspects of human computer interaction and games computing.
Research Areas:
- Computational Neuroscience
- Bio-Inspired Neuro-Robotics
- Robotics and Autonomous Systems
- Machine Learning
- (Neural) Data Analytics
- Device and System Design
- Computer Vision and Image/Video Analysis
- Medical Image Analysis
- Social Computing, Games, and Serious Games Applications.
For detailed information about the School’s research activity, please visit http://www.lincoln.ac.uk/home/socs/research/.
How you are assessed
A PhD is usually awarded based on the quality of a student's thesis, their publications in journals and international conferences, and their ability to present and successfully defend their chosen research topic in an oral examination (viva voce). They are also expected to demonstrate how their research findings have contributed to knowledge or expanded upon existing theory or understanding.
How you are assessed
A PhD is usually awarded based on the quality of a student's thesis, their publications in journals and international conferences, and their ability to present and successfully defend their chosen research topic in an oral examination (viva voce). They are also expected to demonstrate how their research findings have contributed to knowledge or expanded upon existing theory or understanding.
Special Features
There is a range of equipment for loan, including Raspberry Pi devices, smartphones, robots, and virtual reality equipment such as HTC Vive and Oculus Quest.
Applications and Enrolment
The key to a successful programme is to find a research subject that you are passionate about, and a supervisory team that has expertise in that area.
You can find out more about research in the School of Computer Science on our research pages at https://www.lincoln.ac.uk/home/socs/research.
Enrolment Dates
To support your experience within the postgraduate research community, new students are encouraged to enrol in October, February, or May.
In addition to meeting peers across the University who are starting their research programme at the same time, there is access to a central training programme designed around the first three months of study, and targeted support aligned to each stage of the postgraduate research journey. Alternative enrolment dates may be agreed with your supervisor on an individual basis.
Entry Requirements 2022-23
First or second class honours degree in a relevant STEM subject.
Entry Requirements 2023-24
First or second class honours degree in a relevant STEM subject.
If you are an overseas student, you may require an ATAS (Academic Technology Approval Scheme) certificate in order to enrol on this course.
https://www.gov.uk/guidance/academic-technology-approval-scheme
Fees and Funding
For eligible students, there are more ways than ever before to fund your postgraduate study, whether you want to do a taught or research course. For those wishing to undertake a Master's course, UK students can apply for a loan as a contribution towards the course and living costs. Loans are also available to those who wish to undertake doctoral study. The University offers a number of scholarships and funded studentships for those interested in postgraduate study. Learn how Master's and PhD loans, scholarships, and studentships can help you fund your studies on our Postgraduate Fees and Funding pages.
Fees and Funding
For eligible students, there are more ways than ever before to fund your postgraduate study, whether you want to do a taught or research course. For those wishing to undertake a Master's course, UK students can apply for a loan as a contribution towards the course and living costs. Loans are also available to those who wish to undertake doctoral study. The University offers a number of scholarships and funded studentships for those interested in postgraduate study. Learn how Master's and PhD loans, scholarships, and studentships can help you fund your studies on our Postgraduate Fees and Funding pages.
Career Opportunities
This programme provides students with the opportunity to develop a specialism in an area of Computer Science. The study and development of research knowledge may allow students to consolidate their skills and secure positions in research development and the management of technology. Graduates may move into an academic-related roles such as postdoctoral researchers or research assistants. Graduates may also progress to roles in the computing industry.
Postgraduate Events
Find out more about how postgraduate study can help further your career, develop your knowledge, or even prepare you to start your own business at one of our postgraduate events.
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Research at Lincoln
Our research themes cover a unique set of areas, reflecting our role as a civic university and our aspirations to become thought leaders.
Studentships
There are opportunities to get involved in exciting research projects by applying for a studentship.
Supporting your Research
Support is available across the University, offering a friendly, creative, and academically challenging research environment.