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For Companies At a Glance
- Tasks: Join a dynamic team to explore algorithmic graph theory and publish impactful research.
- Company: Durham University is a leading UK institution known for its innovative research and academic excellence.
- Benefits: Enjoy a collaborative environment, professional development opportunities, and the chance to make a real impact.
- Why this job: Be part of cutting-edge research that shapes the future of computer science while working with top experts.
- Qualifications: A PhD in Computer Science or related field is essential; experience in graph theory is a plus.
- Other info: This is a fixed-term position for 26 months, with potential for later start dates.
The predicted salary is between 36000 - 60000 £ per year.
Organisation/Company: DURHAM UNIVERSITY
Research Field: Computer Science
Researcher Profile: Recognised Researcher (R2), Established Researcher (R3)
Country: United Kingdom
Application Deadline: 16 Sep 2025 – 00:00 (UTC)
Type of Contract: Other
Job Status: Full-time
Funding: Not funded by an EU programme
Research Infrastructure: No
Offer Description
The Role
Applications are invited for a Postdoctoral Research Associate in Computer Science, focusing on structural and algorithmic graph theory. The role involves contributing to the project \”Algorithmic meta-classifications for graph containment,\” collaborating with Professors Matthew Johnson, Barnaby Martin, Daniel Paulusma (Durham University), and Vadim Lozin (University of Warwick).
The project aims to develop algorithmic meta-classifications to determine when computationally hard graph problems can be efficiently solved on specific graph classes based on properties C and P.
This project is funded by The Leverhulme Trust (RPG-2024-182, Principal Investigator: Professor Daniel Paulusma).
This is a fixed-term position for 26 months, ending on 29 February 2028, unless a later start date is arranged.
The successful candidate will be part of the ACiD group within Durham University\’s Department of Computer Science.
Key Responsibilities
- Understanding and communicating complex technical material through presentations and discussions, leading to research publications.
- Delivering presentations on research outputs to diverse audiences, including sponsors and academic peers.
- Publishing high-quality research papers for journals and conferences under guidance.
- Assisting in developing research objectives and proposals.
- Conducting individual and collaborative research projects under supervision.
- Collaborating with colleagues to identify research areas, develop methods, and expand the research portfolio.
- Addressing research challenges proactively and innovatively.
- Building relationships for future research collaborations through internal and external contacts.
- Managing own research activities and resources, contributing to project planning.
- Providing training in research techniques to peers, visitors, and students.
- Supervising students and assisting in their assessment.
- Promoting a respectful, inclusive, and welcoming working environment.
- Participating in departmental citizenship and wider discipline activities.
- Engaging in professional development through teaching, committees, and training courses.
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Postdoctoral Research Associate in Computer Science employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Associate in Computer Science
✨Tip Number 1
Familiarise yourself with the specific research interests of Professors Johnson, Martin, Paulusma, and Lozin. Understanding their previous work and current projects will help you tailor your discussions and demonstrate genuine interest during interviews.
✨Tip Number 2
Engage with the ACiD group’s recent publications and presentations. This will not only enhance your knowledge of ongoing research but also provide you with talking points that can impress your potential colleagues and supervisors.
✨Tip Number 3
Network with current and former members of the Department of Computer Science at Durham University. They can offer insights into the department's culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your approach to collaborative research and how you handle complex technical challenges. Highlighting your problem-solving skills and ability to work in a team will resonate well with the role's requirements.
We think you need these skills to ace Postdoctoral Research Associate in Computer Science
Some tips for your application 🫡
Understand the Role: Carefully read the job description to grasp the key responsibilities and required skills. Tailor your application to highlight your experience in structural and algorithmic graph theory, as well as any relevant research projects.
Craft a Strong CV: Ensure your CV is up-to-date and clearly outlines your academic background, research experience, publications, and any teaching or supervisory roles. Emphasise your contributions to previous projects and how they relate to the role at Durham University.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the project. Discuss your research interests and how they align with the goals of the project 'Algorithmic meta-classifications for graph containment'. Be sure to mention your ability to communicate complex ideas effectively.
Prepare for Potential Interviews: While this step comes after application submission, it's wise to prepare for interviews by reviewing common questions related to research methodologies and your specific expertise in graph theory. Be ready to discuss your past research and how you can contribute to the ACiD group.
How to prepare for a job interview at Euraxess
✨Know Your Research
Familiarise yourself with the project 'Algorithmic meta-classifications for graph containment' and the specific areas of structural and algorithmic graph theory. Be prepared to discuss how your previous research aligns with this focus and how you can contribute to the project.
✨Prepare for Technical Questions
Expect in-depth technical questions related to graph theory and algorithmic methods. Brush up on relevant concepts and be ready to explain your thought process when tackling complex problems, as this will demonstrate your analytical skills.
✨Showcase Collaboration Skills
Highlight your experience in collaborative research projects. Discuss how you've worked with others to achieve common goals, as this role involves significant teamwork with professors and peers. Be ready to provide examples of successful collaborations.
✨Emphasise Communication Abilities
Since the role requires delivering presentations and publishing research, showcase your communication skills. Prepare to discuss how you've effectively communicated complex ideas to diverse audiences in the past, and be ready to present a brief overview of your research.
