Research Assistant or Research Associate – Classifying and Understanding Remedies in Comparative Labour Law – CURE (UKRI, originally ERC-funded project)

CURE’s overall objectives

Classifying and Understanding Remedies in Comparative Labour Law (CURE) is a 5-year comparative project, originally funded by the ERC and guaranteed by UKRI,[1] based at the Department of Law, University of Manchester and led by Professor Aristea Koukiadaki. The project sets a new intellectual agenda and direction in comparative labour law by examining the concept and function of remedial rules and institutions. Reframing remedies as an intermediary link between different systems crucial in the production of our imaginaries of justice, CURE aims to provide a new reading of labour law systems on the basis of how they respond to violations, wrongs and injustices. The 5-year project adopts a multi-dimensional, comparative and multi-method research design to evaluate how the juridical concept of remedies has evolved across different dimensions of the employment relationship in a set of different national systems (i.e. France, Greece, Poland, Sweden and the UK). Data collection and analysis will include legal doctrinal and empirical (i.e. legal computational and qualitative) methods that are specifically designed to capture and interpret internal (i.e. legal) and external (i.e. political and economic) perspectives on the regulation of the remedial framework in comparative labour law.

We seek to establish an international team that will work in close collaboration to deliver highly original research in the areas of the project. A Research Assistant or Research Associate is required to work on computational analysis of parliamentary corpora and case-law. The Research Assistant or Research Associate will work in close collaboration with the project team at the University of Manchester, consisting of PI Aristea Koukiadaki, Dr Riza Theresa Batista-Navarro, four more postdoctoral scholars in Law and two PhD students (one in Law and one in Computer Science/Data Analytics), as well as with international, European and national stakeholders involved in the CURE project.

The post-holder should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine learning. The post-holder will be familiar with the use of these techniques and experience of dataset construction and data mining will be essential. The successful applicant will have completed an MPhil/PhD in computer science, mathematics, engineering, or a quantitative social science or digital humanities discipline.

Experience of working as a legal engineer, knowledge engineer or legal technologist in a commercial or research environment would be desirable. Interest in the relationship between technology and society and experience in analysing large multilingual corpora would be also desirable.

The post-holder should be committed to delivering high quality research outputs and should be capable of exercising initiative and demonstrating good time management and planning skills.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:

Name: Professor Aristea Koukiadaki

Email: aristea.koukiadaki@manchester.ac.uk

General enquiries:

Email: People.Recruitment@manchester.ac.uk

Technical support:

Jobtrain: 0161 850 2004 https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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