PhD positions are available at the Theory and Foundations group in the Department of Computer Science, University of Warwick, UK. The group works on various aspects of theoretical computer science, including:

* automata and formal languages,
* logic and games,
* algorithmic game theory,
* online and dynamic algorithms,
* sublinear and streaming algorithms,
* parameterized complexity and structural graph theory,
* string algorithms,
* parallel algorithms,
* approximation algorithms,
* combinatorial and graph algorithms,
* random structures and randomized algorithms,
* computational complexity.

The group has strong ties with the Centre for Discrete Mathematics and its Applications (DIMAP), established in 2007 jointly with Warwick Mathematics Institute and Warwick Business School. Together with DIMAP, the group is one of the leading theory groups in Europe, with regular publications in top international conferences and journals in theoretical computer science.

The Department of Computer Science at Warwick offers an excellent research environment. It was ranked 4th in the latest UK research assessment in Research Excellence Framework (REF) in 2021. The University of Warwick is one of the founding members of the Alan Turing Institute.

The university campus is located on the border of two counties, West Midlands and Warwickshire, is about one hour train ride from London, and 15 minutes from Birmingham International Airport.

The applicants are expected to have a strong background in discrete mathematics, algorithms, or related topics with undergraduate and/or Master's degrees in Computer Science, Mathematics, or related disciplines. The position(s) will be fully funded, and the successful applicant(s) will be receiving a stipend at rate in line with current Research Councils UK rates.

If you are interested in this opening, please send an email to Dr Ramanujan Sridharan (r.maadapuzhi-sridharan@warwick.ac.uk) with a SINGLE .pdf file containing your CV and the names and email addresses of two references, by 24 November 2023. You are strongly encouraged to informally contact faculty members in the group you might want to work with prior to submitting your application.

Shortlisted candidates will be interviewed informally during the week of 4 December - 8 December, 2023.

List of faculty members in the group:

https://warwick.ac.uk/focs/people/<https://warwick.ac.uk/fac/sci/dcs/research/focs/people/>

Centre for Discrete Mathematics and its Applications:
https://warwick.ac.uk/dimap/<https://warwick.ac.uk/fac/cross_fac/dimap/>

We are happy to announce that Dr Fanghui Liu and Dr Debmalya Mandal have joined the Department of Computer Science as Assistant Professors.

Fanghui finished his PhD degree at Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University in 2019. Then he gained the research experience in Europe as a postdoc researcher, at ESAT-STADIUS, KU Leuven from 2019 to 2021 and Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland from 2021 to 2023, respectively. His research interests include machine learning, statistical learning theory as well as applications in trustworthy machine learning systems.

Debmalya completed his Master’s degree in Computer Science and Automation from Indian Institute of Science, and his PhD in Computer Science from Harvard University, where he was also part of the EconCS group. He then gained experience as a postdoctoral researcher at the Data Science Institute of Columbia University, and at the Max Planck Institute of Software Systems. He is broadly interested in the theoretical foundations of AI/ML systems and often incorporate tools from computational social choice, game theory, and machine learning theory in his research. He is currently working on fairness in machine learning, reinforcement learning, and the exciting problem of AI alignment.

We welcome them both to the department!

Seven papers authored by Computer Science researchers from Warwick have been accepted for publication at the 37th Conference on Neural Information Processing Systems, the leading international venue for machine learning research, which will be held on 10-16 December 2023 in New Orleans, Louisiana, USA:

• EV-Eye: Rethinking High-frequency Eye Tracking through the Lenses of Event Cameras, by Guangrong Zhao, Yurun Yang, Jingwei Liu, Ning Chen, Yiran Shen, Hongkai Wen, and Guohao Lan
• Fully Dynamic k-Clustering in Õ(k) Update Time, by Sayan Bhattacharya, Martin Costa, Silvio Lattanzi, and Nikos Parotsidis
• Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks, by Jiayuan Ye, Zhenyu Zhu, Fanghui Liu, Reza Shokri, and Volkan Cevher
• Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs, by Dmitry Chistikov, Matthias Englert, and Ranko Lazic
• On the Convergence of Shallow Transformers, by Yongtao Wu, Fanghui Liu, Grigorios Chrysos, and Volkan Cevher
• Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask? by Hoang Pham, The Anh Ta, Shiwei Liu, Lichuan Xiang, Dung Le, Hongkai Wen, and Long Tran-Thanh
• Towards Unbounded Machine Unlearning, by Meghdad Kurmanji, Peter Triantafillou, and Eleni Triantafillou