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Autonomous Intelligent Machines and Systems (EPSRC CDT)

About the course

The Autonomous Intelligent Machines and Systems (AIMS) Centre for Doctoral Training (CDT) provides graduates with the opportunity to develop in-depth knowledge, understanding and expertise in autonomous intelligent systems. 

The programme provides a comprehensive, state-of-the-art view of autonomous intelligent systems, combining theoretical foundations, systems research, academic training and industry-initiated projects and thus mixing both practical and theoretical aspects of intelligent machines and systems.

Course outline

The first year (first two years if studying part-time) is oriented towards developing your knowledge base. You will need to take a number of courses during your first year (over two years if studying part-time). Your day will comprise of lectures each morning with laboratory sessions each afternoon. You will undertake two ten- to twelve-week mini-projects, precursors to your DPhil study, to hone your research skills and shape your main research area (if studying part-time, you will take one in your first year and the other in your second year). You will meet your supervisor regularly to assess progress and discuss academic issues.

Years two to four (three to eight if studying part-time) see an increasing emphasis on individual research. You will be encouraged to develop projects based on your own research ideas within the four key research themes of Machine Learning, as a unifying core; Robotics & Vision, Control and Verification, and Cyber-Physical Systems (eg sensor networks). Training will continue in academic reading, writing and presentation skills, business and commerce (to include innovation and IP curatorship and entrepreneurship), career development and planning, and ethics and law, where the societal implications of autonomous systems will be considered.

Research seminars are used to discuss papers, for rehearsing conference talks and for building links between groups. An annual workshop gives the opportunity to present research to students, industrial partners and invited researchers from other universities. Industrial collaborators are invited to share their latest problems and market trends and to discuss opportunities for future collaboration.

If studying full-time, you will spend one or two months over the second or third summer in an industrial lab to gain experience in industry-led projects and expanding your horizons by engaging in an AIMS topic that is not your main one. If studying part-time, it is recommended that you take on an internship between years four and six.

After the end of the internship, further interaction will be encouraged by inviting your industrial supervisors to join your group in Oxford for short periods.

You will also be encouraged to take demonstrations of your systems to companies, government departments, as well as schools. In the fourth year, the cohort help organise the annual workshop, inviting keynote speakers, participating in the program committee, reviewing papers submitted by second and third year students, and publicising the workshop to universities and industrial partners beyond those directly involved in the CDT.

Attendance

The course can be studied full-time or part-time with both modes requiring attendance in Oxford. Full-time students are subject to the University's Residence requirements. Part-time students are required to attend course-related activities in Oxford for a minimum of 30 days each year.

The full-time course is usually studied over three to four years. The part-time courses is usually studied over six to eight years.

Provision exists for students on some courses to undertake their research in a ‘well-founded laboratory’ outside of the University. This may require travel to and attendance at a site that is not located in Oxford. Where known, existing collaborations will be outlined on this page. Please read the course information carefully, including the additional information about course fees and costs.

Resources to support your study

As a graduate student, you will have access to the University's wide range of world-class resources including libraries, museums, galleries, digital resources and IT services.

The Bodleian Libraries is the largest library system in the UK. It includes the main Bodleian Library and libraries across Oxford, including major research libraries and faculty, department and institute libraries. Together, the Libraries hold more than 13 million printed items, provide access to e-journals, and contain outstanding special collections including rare books and manuscripts, classical papyri, maps, music, art and printed ephemera.

The University's IT Services is available to all students to support with core university IT systems and tools, as well as many other services and facilities. IT Services also offers a range of IT learning courses for students, to support with learning and research.

The AIMS CDT is resourced by the UK's Engineering and Physical Sciences Research Council, and is jointly hosted by the Department of Computer Science and Department of Engineering Science.

There are strong links with researchers in other departments in the mathematical and physical sciences, and, ever increasingly, with researchers and practitioners in medical science departments and University hospitals.

The key research cluster for AIMS is information, control and vision engineering, which is well-supported by experienced technical, computing, and administrative staff. The department has well-equipped research areas and workshops, as well as offices, lecture theatres, library, common room, stores, reprographics and other facilities. 

Supervision

For this course, the allocation of graduate supervision is the responsibility of the Department of Engineering Science and/or Department of Computer Science and it is not always possible to accommodate the preferences of incoming graduate students to work with a particular member of staff. Under exceptional circumstances a supervisor may be found outside the Department of Engineering Science and Department of Computer Science. 

Students will have the opportunity to meet their supervisor on a regular basis to discuss their progress. For full-time students, these meetings are usually at least once every two weeks, averaged across the year, and once a month for part-time students.

Assessment

If you are studying full-time, you will be assessed continually throughout the first year during courses and projects and at its end the programme supervisors will assess whether sufficient progress has been made to continue to the research phase. At the end of the second year, you will be required to write a report and give a presentation on your research, and to present a detailed and coherent plan for the research-intensive phase in the third and fourth years of your doctoral studies. Progress towards completion is again formally assessed some way into the final year of study.

If studying part-time, you will be assessed over the first two years. Timings will differ for the presentation for part-time students. 

For the DPhil you will be required to submit a substantial thesis which is read and examined by experts in the field, one from the department and one from elsewhere. Often the thesis will result in the publication of several journal and conference papers.

Graduate destinations

The development of a positive group dynamic within and between year groups in the CDT and the progressive increase of responsibility and external exposure, equips graduates from the AIMS programme for leadership roles in industry both nationally and internationally. It is anticipated that others will continue to spend time in postdoctoral research, probably developing the work in their theses towards product.

Changes to this course and your supervision

The University will seek to deliver this course in accordance with the description set out in this course page. However, there may be situations in which it is desirable or necessary for the University to make changes in course provision, either before or after registration. The safety of students, staff and visitors is paramount and major changes to delivery or services may have to be made if a pandemic, epidemic or local health emergency occurs. In addition, in certain circumstances, for example due to visa difficulties or because the health needs of students cannot be met, it may be necessary to make adjustments to course requirements for international study.

Where possible your academic supervisor will not change for the duration of your course. However, it may be necessary to assign a new academic supervisor during the course of study or before registration for reasons which might include illness, sabbatical leave, parental leave or change in employment.

For further information please see our page on changes to courses and the provisions of the student contract regarding changes to courses.

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