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PhD Studentship in Algorithms and Complexity 2026 at University of Leeds

The Daadscholarship group

Leeds

On-site

GBP 21,000

Full time

30+ days ago

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Job summary

A UK university is offering a fully funded 3.5-year PhD Studentship in Algorithms and Complexity, focusing on advanced algorithm development. The ideal candidate will have a strong mathematical background and a First Class or Upper Second Class degree in Computer Science or Mathematics. Benefits include full academic fee coverage and an annual tax-free maintenance grant of £20,780.

Benefits

Full academic fee coverage for 3.5 years
Annual tax-free maintenance grant at UKRI rate
Inclusive academic environment

Qualifications

  • Strong mathematical background and passion for algorithmic research.
  • Must have familiarity with parameterized complexity and approximation.

Responsibilities

  • Develop efficient parameterized approximation algorithms.
  • Work on preprocessing methods for NP-hard graph problems.
  • Contribute to groundbreaking advancements in computational theory.

Skills

Strong mathematical and analytical skills
Solid understanding of discrete algorithms
Keen interest in complexity theory and problem-solving

Education

First Class or Upper Second Class British Bachelor’s Honours degree in Computer Science or Mathematics
Job description

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Are you passionate about theoretical computer science and solving complex algorithmic challenges? Here’s your chance to dive into one of the most intellectually stimulating PhD opportunities in the UK!

The School of Computer Science at the University of Leeds invites applications for a fully funded 3.5-year PhD Studentship in Algorithms and Complexity under the supervision of Dr. Fahad Panolan — a scholar recognized for his cutting-edge research in parameterized complexity and approximation.

About the Project

The Algorithms Group at Leeds is offering a prestigious opportunity to explore Parameterized Complexity and Approximation, a dynamic and expanding field of theoretical computer science. This PhD project focuses on developing efficient parameterized approximation algorithms and preprocessing (kernelization) methods for NP-hard graph problems — foundational work that has real-world applications across optimization, network analysis, and artificial intelligence.

If you have a strong mathematical background and a passion for algorithmic research, this is your chance to contribute to groundbreaking advancements in computational theory.

Funding and Benefits

The award includes:

  • Full academic fee coverage for 3.5 years
  • Annual tax-free maintenance grant at the standard UKRI rate of £20,780
  • Continued maintenance allowance for up to six months in the writing-up phase
  • An inclusive academic environment committed to equality, excellence, and innovation

Please note that travel, research, or conference expenses are not covered by this studentship. A small overtime fee (£340 for 2025/26) applies for the final writing-up year.

Who Can Apply?

Applicants must hold at least a First Class or Upper Second Class British Bachelor’s Honours degree (or equivalent) in Computer Science or Mathematics. Ideal candidates will demonstrate:

  • Strong mathematical and analytical skills
  • A solid understanding of discrete algorithms
  • A keen interest in complexity theory and problem-solving

Although the studentship is open only to UK nationals, the University of Leeds encourages applications from diverse backgrounds, including underrepresented groups in computing and STEM.

For those whose first language is not English, the minimum requirement is an IELTS score of 6.5 overall, with 6.5 in writing and 6.0 in all other components. Equivalent qualifications are accepted, but the test must be valid within two years of the course start date.

How to Apply?

Applications must be submitted through the University of Leeds Online Application Portal.

In your application:

  • Select PhD in Computer Science under “Planned Course of Study.”
  • In the Research Information section, specify “PhD Studentship in Algorithms and Complexity (PGR-P-2280)” and Dr. Fahad Panolan as your proposed supervisor.
  • In the Finance section, mention the School of Computer Science Scholarship 2025/26 as your funding source.
  • Personal Statement describing your motivation and suitability for the project
  • Full academic transcripts (or interim transcripts if still completing studies)

Early applications are strongly encouraged, as the position may close sooner if a suitable candidate is appointed. Applicants are also advised to contact Dr. Fahad Panolan informally before submitting their formal application.

Application Dates to Remember

Application Deadline: Friday, 30 January 2026
Project Start Date: Wednesday, 1 October 2025.

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