Preparatory Exercises for PhD Positions in Safe Agentic/LLM Reasoning via Formal Verification

Updated: 8 days ago
Location: Manchester, ENGLAND
Deadline: 06 Feb 2026

19 Jan 2026
Job Information
Organisation/Company

The University of Manchester
Department

Computer Science
Research Field

Computer science
Researcher Profile

First Stage Researcher (R1)
Positions

PhD Positions
Application Deadline

6 Feb 2026 - 23:59 (Europe/London)
Country

United Kingdom
Type of Contract

Temporary
Job Status

Other
Job Status Extra Information

3.5-year PhD studentship
Offer Starting Date

1 Apr 2026
Is the job funded through the EU Research Framework Programme?

Horizon Europe (other)
Reference Number

101226927
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The target is to explore novel synergies among natural language-based Human-AI interaction, nature-inspired optimization and exploration, the social impacts of Human-AI cooperation on team dynamics, and advanced machine learning in the engineering domain. Generative AI substantially changes the way engineers interact with and benefit from AI and access domain-specific knowledge, marking a phase transition that not only enhances the productivity of engineering teams but also expands the complexity of solvable design problems.

We have two exciting PhD positions at the intersection of formal software verification and Large Language Model (LLM) safety, focusing on extending state-of-the-art logic-based automated reasoning tools such as ESBMC (https://github.com/esbmc/esbmc ) to address safety and reliability challenges in agentic reasoning systems. Successful candidates will investigate novel approaches that use abstract interpretation, model checking, constraint programming, and fuzzing techniques to ensure safety and reliability in LLM-powered agentic systems.


Where to apply
Website
https://www.findaphd.com/phds/project/safe-agentic-llm-reasoning-via-formal-ver…

Requirements
Research Field
Computer science
Education Level
Master Degree or equivalent

Skills/Qualifications

Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.


Languages
ENGLISH
Level
Excellent

Research Field
Computer science
Years of Research Experience
4 - 10

Additional Information
Benefits

This 3.5-year PhD studentship is open to Home (UK) and overseas applicants. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. We expect the stipend to increase each year. The start date is April 2026.


Eligibility criteria

Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline.

Applicants should follow the Mobility Rule: DCs have not been resident in the country of the recruiting beneficiary for more than 12 months in the last 36 months.


Website for additional job details

https://www.findaphd.com/phds/project/safe-agentic-llm-reasoning-via-formal-ver…

Work Location(s)
Number of offers available
2
Company/Institute
The University of Mancheser
Country
United Kingdom
State/Province
Greater Manchester
City
Manchester
Postal Code
M13 9PL
Street
Oxford Road
Geofield


Number of offers available
2
Company/Institute
https://www.manchester.ac.uk/
Country
United Kingdom
State/Province
Greater Manchester
City
Manchester
Postal Code
M13 9PL
Street
Oxford Road
Geofield


Contact
State/Province

Manchester
City

Manchester
Website

https://www.manchester.ac.uk/
Street

Oxford Road
Postal Code

M13 9PL
E-Mail

noriko.griffiths@manchester.ac.uk

STATUS: EXPIRED

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