At a Glance
- Tasks: Join our team to explore NLP in health records for epilepsy research.
- Company: King's College London is a leading neuroscience department with a strong research focus.
- Benefits: Enjoy a competitive salary, inclusive culture, and potential for contract extension.
- Why this job: Make a real impact in healthcare while working with cutting-edge AI technology.
- Qualifications: PhD or equivalent experience in NLP, coding skills in Python, and teamwork experience required.
- Other info: We value diversity and offer sponsorship for eligible candidates.
The predicted salary is between 53149 - 54559 £ per year.
Organisation/Company KINGS COLLEGE LONDON Research Field Computer science Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 19 Jun 2025 – 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About us The School of Neuroscience at King’s College London is the second largest university neuroscience department in the UK, with approximately 100 faculty and a total of 600 staff and students. The School holds approximately £220 million in currently-active research grants, and, out of all universities globally, has the 4th highest number of highly-cited publications in neuroscience (source: SciVal 2022). The regional Neurology and Neurosurgery service is located in King’s College Hospital on the same campus, and, including stroke and neurorehabilitation, has approximately 200 inpatient beds, making it one of the largest and busiest such centres in the UK. King’s College Hospital is home to the largest EEG department in the UK and one of the busiest epilepsy specialist services. About the role This exciting research role will be responsible for the successful delivery and future development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity with current methods in this area is essential, as is the ability and knowledge to help develop new methods. The postholder will be working within a team of three at King’s College London that is working collaboratively with another research team at Swansea University This is a full-time post (35 hours per week) and you will be offered a fixed term contract until 30th April 2027 with the possibility of a further extension. About you To be successful in this role, we are looking for candidates to have the following skills and experience: PhD qualified in relevant subject area or equivalent professional experience Familiarity and experience with NLP methods and especially LLMs, evidenced by publications and/or dissertation or equivalent evidence of expertise and completed research outputs Proven ability to write code in Python Experience working in a research team Excellent writing and communication skills, especially for academic papers Experience working with NHS data or other medical data Understanding of and experience working with digital neural networks Experience working collaboratively within a multidisciplinary research team Demonstrable career trajectory in AI Health Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information on what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King\’s. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. We are able to offer sponsorship for candidates who do not currently possess the right to work in the UK. This post is subject to a Disclosure and Barring Service clearance. Grade and Salary: £53,149 – £54,559 per annum, including London Weighting Allowance Job ID: 116065 Close Date: 19-Jun-2025 Contact Person: Dr Ben Holgate Contact Details: benjamin.holgate@kcl.ac.uk #J-18808-Ljbffr
Research Fellow in Natural Language Processing Applied to Health Records employer: EURAXESS Czech Republic
Contact Detail:
EURAXESS Czech Republic Recruiting Team
benjamin.holgate@kcl.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Natural Language Processing Applied to Health Records
✨Tip Number 1
Network with professionals in the field of Natural Language Processing and health records. Attend relevant conferences or workshops where you can meet researchers from King’s College London and Swansea University, as personal connections can often lead to job opportunities.
✨Tip Number 2
Engage with current research in NLP and LLMs by following key publications and authors in the field. This will not only enhance your knowledge but also give you insights into the latest trends and methodologies that you can discuss during interviews.
✨Tip Number 3
Consider reaching out to Dr Ben Holgate or other team members at King’s College London via email or LinkedIn. Express your interest in the role and ask any specific questions you may have about the research project or team dynamics.
✨Tip Number 4
Prepare for potential interviews by practising how to articulate your experience with Python coding and NLP methods. Be ready to discuss specific projects or research outputs that demonstrate your expertise and how they relate to the role.
We think you need these skills to ace Research Fellow in Natural Language Processing Applied to Health Records
Some tips for your application 🫡
Understand the Role: Thoroughly read the job description for the Research Fellow position. Make sure you understand the specific requirements, such as familiarity with NLP methods and experience with LLMs, as well as the importance of collaboration within a research team.
Tailor Your CV: Craft your CV to highlight relevant experience, particularly in NLP and coding in Python. Include any publications or research outputs that demonstrate your expertise in the field, especially those related to health data.
Write a Compelling Supporting Statement: In your supporting statement, clearly outline how you meet the essential criteria listed in the job advert. Use specific examples from your past experiences to illustrate your skills and achievements, particularly in relation to working with NHS data and digital neural networks.
Proofread and Edit: Before submitting your application, carefully proofread your CV and supporting statement. Check for clarity, grammar, and spelling errors. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at EURAXESS Czech Republic
✨Showcase Your NLP Expertise
Make sure to highlight your experience with Natural Language Processing, especially with Large Language Models. Be prepared to discuss specific projects or publications that demonstrate your skills in this area.
✨Demonstrate Team Collaboration
Since the role involves working within a multidisciplinary research team, share examples of how you've successfully collaborated with others in past projects. Emphasise your communication skills and ability to work towards common goals.
✨Prepare for Technical Questions
Expect technical questions related to Python coding and NLP methods. Brush up on your coding skills and be ready to solve problems or explain your thought process during the interview.
✨Understand the Research Context
Familiarise yourself with the current research landscape in epilepsy and the use of health records. Being knowledgeable about King’s College London and Swansea University’s research initiatives will show your genuine interest in the role.