Research Assistant or Research Associate - Classifying and Understanding Remedies in Comparative Lab

The University of Manchester; Manchester; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading educational institution in Manchester is seeking a Research Assistant or Research Associate to conduct computational analysis on parliamentary data and case-law. The ideal candidate will have an MPhil/PhD in a quantitative discipline and experience with natural language processing and machine learning. This role offers flexible working arrangements and strong research output commitment.

Qualifications

• Experience with computational and analytical techniques.
• Familiarity with dataset construction.
• Interest in legal technology and its societal impact.

Responsibilities

• Conduct computational analysis of parliamentary corpora and case-law.
• Collaborate with international stakeholders.
• Support innovative research in labor law.

Skills

Natural language processing

Topic modeling

Computational linguistics

Machine learning

Data mining

Education

MPhil/PhD in computer science, mathematics, engineering, or a related quantitative discipline

Job description

CURE's Overall Objectives

Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year project, funded by the ERC and UKRI, based at the University of Manchester, led by Professor Aristea Koukiadaki. It explores the concept and function of remedial rules and institutions across different legal systems, aiming to provide a new perspective on labour law in response to violations and injustices.

The project adopts a multi-dimensional, comparative, and multi-method approach, analyzing how remedies have evolved within various employment relationships in countries such as France, Greece, Poland, Sweden, and the UK. Data collection includes legal doctrinal and empirical methods, capturing both internal (legal) and external (political and economic) perspectives.

Role Description

We seek to establish an international team for delivering innovative research. A Research Assistant or Research Associate is needed to work on computational analysis of parliamentary corpora and case-law, collaborating closely with the University of Manchester team and international stakeholders.

Candidate Requirements

• Experience with computational and analytical techniques such as natural language processing, topic modeling, computational linguistics, and machine learning.
• Familiarity with dataset construction and data mining.
• Completed MPhil/PhD in computer science, mathematics, engineering, or a related quantitative discipline.
• Legal engineering or legal technology experience and interest in technology's societal impact are desirable.
• Strong research output commitment, initiative, and good time management skills.

Additional Details

The position starts on 1st September 2025 for 24 months, based in the Department of Law, with collaborative work across related departments. The role aligns with the original ERC grant and UKRI funding.

Equal Opportunities and Working Arrangements

We welcome applicants from all backgrounds and support flexible and blended working arrangements.

Application and Enquiries

For inquiries about the vacancy, contact Professor Aristea Koukiadaki at [e-mail]. General questions and technical support contacts are provided, and applications close at midnight on the specified deadline.