Training Programme

The CDT offers an integrated 4 year PhD training programme.

The CDT focuses on training students to be well aligned with our non-academic partner's needs for skilled recruits.

Cohort Approach

PhD students are recruited in groups which provide a collaborative training environment and access to a range of individuals with various skills and experiences.  This will enable students to learn how to work as a team and identify their personal strengths and potential areas of improvement.

Mini-projects (Hackathons)

Mini-projects provide students with essential experience of working in groups and responding to a task by quickly turning a collection of individuals (with disparate skills, backgrounds and levels of experience) into a productive team.

Our approach will be broadly similar to a hackathon but with a more collaborative and less competitive ethos.

Partners and supervisors will present their challenges to the CDT community. The group will then work to develop a proof-of-concept solution thereby reducing the risk of development of such a solution. This will include technical risks, demanding that the team performs analysis of data or run simulations. The risks will also include consideration of non-technical barriers to adoption e.g., related to marketing, research ethics, data security, sustainability and disposal.

Advanced Topics and Technical Training

Students will be offered the opportunity to undertake a variety of technical skills training such as: UoL Masters Modules, Alan Turing Institute workshops, and STFC Hartree HPC training to underpin their research. 

Funding for Personal Development

Each student is offered approximately £3k/year for personal and professional development to attend international conferences, workshops and relevant events to develop personal research interests, understanding and networks.

Research Group Seminars and Reading Groups

The Signal Processing Group and CDT have regular seminars and reading groups where colleagues present a topic of interest to the group to share reserach interests, create networks of support and provide the team with an overview of intersting technology advances.

Back to: Centre for Doctoral Training in Distributed Algorithms