PhD Studentship & Graduate Teaching Assistant

Overview

We are seeking a passionate candidate to undertake a full-time PhD research in computing or mathematical sciences, and provide assistance to academic staff as a part-time Graduate Teaching Assistant.

Birkbeck, University of London, is seeking a passionate candidate to undertake a full-time PhD research in computing or mathematical sciences, and provide assistance to academic staff as a part-time Graduate Teaching Assistant.

The post holder will be registered as a full-time research (PhD) student within the School of Computing and Mathematical Sciences for the period of employment with registration fees waived.

As a Graduate Teaching Assistant, you will:

• Pursue research study towards a PhD thesis.
• Provide assistance to staff involved in teaching, including supporting classes and leading seminar discussions online.
• Participate in the marking of assessments and examination of students.
• Undertake administration related to the above to ensure the effective running of programmes.

To be successful in this role, you will be able to:

• Demonstrate the potential to conduct high-quality research in computer science, mathematics, statistics and/or probability theory.
• Support teaching effectively at postgraduate level online.
• Demonstrate good organisational and administrative skills to meet deadlines.

Moreover, you will:

• Have obtained a good first degree or masters in a discipline relevant to computer science, mathematics, statistics and/or probability theory
• Have a practical knowledge of the Python programming language, and SQL.
• Have a good understanding of Information Systems, and Data Management.
• Be eligible for acceptance to the MPhil/PhD in the School of Computing and Mathematical Sciences.
• Submitted an application to the department’s full-time MPhil/PhD including an original research proposal.

For further details regarding admission to our research study programme including details on how to develop a research proposal, please consult the detailed guide available online via the links below:

• MPhil/PhD Computer Science and Information Systems
• MPhil/PhD Mathematics and Statistics

Birkbeck has been teaching and researching computer science since 1957, making it one of the oldest computing departments worldwide. Having a long-established reputation in data management and computational intelligence, we have evolved into a world-leading centre in algorithms, artificial intelligence, databases, data science, knowledge representation, and verification.

Our research is organised around three main themes: AI and Data Science, Discrete Mathematics and Algorithms and Logical Methods. We also have two research centres:
Birkbeck Institute for Data Analytics and Birkbeck Knowledge Lab.

The School is particularly interested in supervising research that aligns with the work of the research groups and centres. A non-exclusive list of topics and supervisors is included below. Applicants who wish to pursue a PhD in a different field will also be considered:

-

• Mathematical Analysis of Reconstruction Error for Off-Shore Wind Measurement Systems (Dr Anthony Brooms)
• Software Engineering, Machine Learning, Natural Language Processing, Large Language Models (Dr Taolue Chen)
• Static Program analysis and verification, termination analysis, term rewriting (Dr Carsten Fuhs)
• Graph Databases, Data Modelling, Process Modelling (Dr Jan Hidders)
• Combinatorial aspects of cryptography and information security (Prof Maura Paterson)
• AI in Finance: new models and data streams (Dr Alessandro Provetti)
• Probability theory:
  Interacting particle systems (Dr Richard Pymar)
• Designing network algorithms founded on graph theory (Dr Felix Reidl)
• Extraction of Rules and Specifications from Temporal Data (Dr Vladislav Ryzhikov)
• Novel diffusion model learning algorithms for synthetic DNA sequence design (Dr Cen Wan)

Please note thattwoseparate applications will be required: