Postdoctoral Researcher Job for Natural Legal Language Processing at Radboud Uni, Netherlands 2022

Postdoctoral Researcher Job for Natural Legal Language Processing at The Institute for Computing and Information Sciences, Radboud University, Netherlands Mar 2022

General Info

Position: Postdoc

No. of Positions: 1

Research Field: Computer Science, Natural language processing (NLP)

Joining Date: ASAP

Contract Period: 1 Year

Salary: €2,836 and €4,474/month

Workplace:
The institute for Computing and Information Sciences
Radboud Universiteit, Houtlaan, Nijmegen, Netherlands

• You hold a PhD in CS, with a specialisation in NLP within the context of theoretical CS, machine learning or information retrieval.
• You have completed a minor in philosophy, science, or technology and society studies (preferred, not required).
• You have demonstrated excellence in academic writing and are fluent in English.
• You have affinity with novel types of conceptualization.
• You have a passion for conceptual clarity, critical reflection and creative intervention.
• You are able to think and work independently, also when under pressure, show respect for your colleagues, make sure you meet deadlines, and have a strong ambition to produce high-quality work.
• You have a willingness to engage with legal scholars, clarifying the assumptions, research design and operations of relevant computational systems.

Responsibilities/Job Description

The institute for Computing and Information Sciences is looking for a postdoctoral researcher in the domain of NLP or information retrieval, who will contribute to the study of natural legal language processing (NLLP) and is capable of developing an internal critique of relevant CS methodologies. You will be part of the CS team working on an ERC Advanced Grant project on the subject of 'computational law', in which a legal team and a CS team collaborate to help lawyers better understand both the possibilities and limitations of NLLP. We expect excellence within the domain of CS as well as a willingness to investigate the assumptions of NLP and their implications for the outcome of NLLP systems. You will be appointed at the Radboud institute for Computing and Information Sciences (iCIS), where your colleagues will be leading experts on information retrieval and NLP (e.g. Martha Larson and Arjen de Vries). You will also have the opportunity to collaborate with NLP experts at Radboud University's Centre for Language and Speech Technology. In addition, iCIS has close ties with Radboud University's interdisciplinary research hub on digitalization and society (the iHub). You will partake in the cross-disciplinary research of the ERC Advanced Grant project on 'Counting as a Human Being in the Era of Computation Law (COHUBICOL)'.You will inquire into the architecture and foundational issues of NLLP, developing answers to questions such as:

1. As machine learning is claimed to approximate a mathematical target function, how can lawyers learn to test and contest the relevance of the approximation for the legal issues at stake?2. How do different types of NLLP restrict or enable testing for various types of bias in their output?

How to Apply?

Application Method: Online Application
Ref. No.: -

Application Procedure

You can apply until 14 March 2022, exclusively using the button below. Kindly address your application to Mireille Hildebrandt. Please fill in the application form and attach the following documents:

• An expression of interest (1500 words), explaining why you are interested in COHUBICOL, how you would contribute, and what makes you a suitable candidate (expressions of interest that do not relate to COHUBICOL content and objectives as stated on the website www.cohubicol.com will not be considered).
• Your CV including the contact details of two referees.

The first round of interviews will take place in the week of 21 March. We can imagine you're curious about our application procedure. It offers a rough outline of what you can expect during the application process, how we handle your personal data and how we deal with internal and external candidates.