We are seeking a research assistant with a background in social cognitive science to work on a Kings Together project, Minds in the Machine: Improving Mental State Inference in Artificial Intelligence, directed by Dr Caroline Catmur (Psychology) in collaboration with colleagues from Informatics.
The project seeks to carry out pilot work to develop artificial agents which can infer humans' mental states, in order to improve human-agent interaction. The work will be carried out by two research assistants, one with a background in Psychology (specifically, social cognitive science) and one with a background in Informatics (specifically, social artificial intelligence).
The Psychology research assistant will have the following key responsibilities: Liaison with the Informatics team to provide support with materials and study design for artificial agent studies. Organisation of team meetings. Ethics application, data collection and analysis for human studies. Helping to draft pre-print of study findings. Helping to disseminate findings including at team meetings and other events.
The role is available for up to 2 days (14 hours) per week from 3rd February to 1st August 2025, however a job-share arrangement (1 day / 7 hours per week) could also be discussed.
Qualifications
BSc in Cognitive Science, Experimental Psychology OR equivalent research experience
Skills
Essential: A relevant qualification (BSc or MSc) or equivalent experience in Cognitive Science, Experimental Psychology or related discipline. Experience in managing research projects including applying for ethical approval, setting up data collection, collecting research data, data analysis and dissemination of findings in written and verbal form. Good interpersonal and time management skills.
Desirable: Experience of carrying out research using large language models. Knowledge of the recent academic literature on social cognition, in particular theory of mind.
We are seeking a highly motivated Research Assistant to contribute to the development of a medical timeline builder using Large Language Models (LLMs). This project aims to extract and organize temporal information from clinical narratives to construct structured medical timelines that enhance clinical decision-making and patient care. The successful candidate will work at the intersection of natural language processing (NLP), clinical informatics, and AI-driven healthcare applications.
Key Responsibilities:
Data Processing & Annotation: Preprocess and structure clinical text datasets (e.g., i2b2, MIMIC) for training and evaluation.
LLM Fine-Tuning & Evaluation: Fine-tune state-of-the-art LLMs for temporal information extraction and reasoning in clinical texts.
Pipeline Development: Develop and implement a two-stage LLM-based framework for extracting temporal references and constructing medical timelines.
Model Benchmarking: Design benchmark datasets and evaluate models on clinical temporal reasoning tasks.
Visualization & Integration: Assist in integrating timeline generation results into interactive visualization toolsfor clinical use.
Collaboration & Dissemination: Work closely with interdisciplinary teams, including clinicians and AI researchers, and contribute to publications and conference presentations.
Qualifications
Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Biomedical Informatics, or a related field.
Skills
Programming Skills: Proficiency in Python, with experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
Machine Learning & LLMs: Understanding of deep learning, LLM fine-tuning, and model evaluation techniques.
Clinical NLP Experience: Familiarity with medical text processing, clinical terminologies (e.g., SNOMED, UMLS), and temporal reasoning in healthcare.
Data Handling: Experience working with structured and unstructured clinical datasets (e.g., i2b2, MIMIC-III).
Research & Communication: Strong analytical skills, ability to conduct literature reviews, and contribute to academic writing.
The K+ team are looking for passionate PhD students to deliver engaging academic content for our K+ Spring and Summer Schools. Your role will be central to inspiring Year 12 students and equipping them with the skills and confidence to explore academic research independently.
You will prepare a seminar, support students to select a research question for their project and support your seminar group to create an engaging group pitch. Your academic content will need to be relevant to a K+ Pathway.
This role will require a commitment of 26 hours work before, during and after the Spring/Summer School. Hours will be broken down as follows:
6 hours for preparation
4 hours for compulsory training.
10 hours are to be completed at the Spring/ Summer Schools
6 hours for marking
Prior to the Spring/Summer school you will need to prepare:
A one-hour seminar on an area of research relevant to a K+ Pathway. The seminar should highlight how your chosen research area connects to various subfields. For example, a History PhD student might introduce Youth Culture, explaining how it relates to topics like music, politics, or social movements.
Five different research question briefs (covering a range of disciplines / topics related to your research area) that can be distributed to students. These should be accessible to Year 12 students to understand and include a suggested reading / resources list to guide independent exploration.
During the Spring/ Summer School you will deliver content across 2 days.
On Day 1 you will:
Deliver a one-hour seminar for 20-25 students which includes discussion questions to encourage interaction and engagement.
Deliver a session on Choosing a Research Question (the same session will be repeated twice for two groups of 10-13 students).
Guide students in selecting a specific question within their chosen research brief to focus on for their academic poster project.
Support students as they outline ideas for their academic poster, which they will complete in the weeks following the Spring/ Summer school.
On Day 2 you will:
Support students to work as a group to develop a pitch based on the research area they explored on Day 1. The pitch should be fun and dynamic, designed to replicate a funding pitch scenario (think Dragon's Den!). A panel of judges will decide which research area deserves the most funding based on the persuasiveness of each pitch.
Help groups refine their ideas and ensure they are on the right track by answering questions and providing feedback during pitch preparation time.
Encourage creativity while keeping the pitch academically grounded.
All academic activities will be supported by our Widening Participation Student Ambassadors (current King?s Undergraduate / Masters students) and the SMWP team.
After the Spring/ Summer School
Students will individually complete their academic poster projects, building on the work they completed in their Spring / Summer School. The posters will be displayed at a conference celebrating their achievements a few weeks later (attendance at the conference for PhD Student Supporters is optional).
Once the conference is complete, we will send you copies of your students' academic posters so that you can provide feedback. The feedback should be approximately 100-150 words with the aim of encouraging the student to continue their academic exploration of the research area.
Delivery dates by Pathway:
Pathway
Training dates
Delivery dates
Marking dates
Psychology, Psychiatry & Neuroscience
Thurs 13th March (1 hour)
Sun 27th July (3 hours)
Thurs 31st Jul - Fri 1st August
By Monday 8th September
Qualifications
PhD in progress or Postdoc
Skills
Essential criteria:
PhD (in progress) or Postdoc in Dentistry, Life Sciences and Medicine or a related field
Ability to work independently
Ability to engage and enthuse a group of young people on an academic topic
Desirable criteria:
Experience working with young people aged 16-18
Experience teaching/ delivering sessions to young people
Experience delivering an academic poster at a research conference
Please note that all successful applicants will be required to complete a DBS check (cost covered by SMWP).
Neurodegenerative disorders are the greatest health challenge of our century. To date there is no way to prevent it or even slow its progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it.
We are a globally leading multidisciplinary research institute of 850 staff investigating the spectrum of neurodegenerative disorders causing dementia, with laboratory-based research groups located at University College London, the University of Cambridge, Cardiff University, Edinburgh University, Imperial College London, and King?s College London.
Centre context
King?s
Researchers at the UK DRI at King?s use innovative approaches to explore the biological mechanisms involved in neurodegenerative diseases. Their goal is to defeat dementia by uncovering vital new knowledge that will lead to the design of smarter diagnostics and effective treatments. The team aim to understand the fundamental biological processes involved in dementia at a molecular level ? and to use that knowledge to design new ways to diagnose and treat disease more precisely.
Qualifications
MSc in Neuroscience and knowledge of neurodegeneration biology
Skills
Professor Chris Shaw is seeking and enthusiastic and organised Laboratory Technician to work on a project to identify converging pathological mechanisms across genetic forms of amyotrophic lateral sclerosis (ALS) utilising a range of analytical approaches on a range of human iPSC, primary rodent neuron and transgenic mouse models. These include high content and super-resolution imaging and biochemical techniques.
This position will require attention to detail, as well as a willingness for occasional weekend work in the context of cellular work. The Shaw lab is highly collaborative. You will join a multidisciplinary team on the Denmark Hill Campus with a leading role in:
Designing and performing experiments and detailed data analysis
Providing significant contribution to the production of research papers in high impact journals
Developing technical advances and finding innovative solutions to problems and developing novel lines of research
We are seeking a highly motivated Research Assistant to contribute to the development of a medical timeline builder using Large Language Models (LLMs). This project aims to extract and organize temporal information from clinical narratives to construct structured medical timelines that enhance clinical decision-making and patient care. The successful candidate will work at the intersection of natural language processing (NLP), clinical informatics, and AI-driven healthcare applications.
Key Responsibilities:
Data Processing & Annotation: Preprocess and structure clinical text datasets (e.g., i2b2, MIMIC) for training and evaluation.
LLM Fine-Tuning & Evaluation: Fine-tune state-of-the-art LLMs for temporal information extraction and reasoning in clinical texts.
Pipeline Development: Develop and implement a two-stage LLM-based framework for extracting temporal references and constructing medical timelines.
Model Benchmarking: Design benchmark datasets and evaluate models on clinical temporal reasoning tasks.
Visualization & Integration: Assist in integrating timeline generation results into interactive visualization toolsfor clinical use.
Collaboration & Dissemination: Work closely with interdisciplinary teams, including clinicians and AI researchers, and contribute to publications and conference presentations.
Qualifications
Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Biomedical Informatics, or a related field.
Skills
Programming Skills: Proficiency in Python, with experience in NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
Machine Learning & LLMs: Understanding of deep learning, LLM fine-tuning, and model evaluation techniques.
Clinical NLP Experience: Familiarity with medical text processing, clinical terminologies (e.g., SNOMED, UMLS), and temporal reasoning in healthcare.
Data Handling: Experience working with structured and unstructured clinical datasets (e.g., i2b2, MIMIC-III).
Research & Communication: Strong analytical skills, ability to conduct literature reviews, and contribute to academic writing.
The K+ team are looking for passionate PhD students to deliver engaging academic content for our K+ Spring and Summer Schools. Your role will be central to inspiring Year 12 students and equipping them with the skills and confidence to explore academic research independently.
You will prepare a seminar, support students to select a research question for their project and support your seminar group to create an engaging group pitch. Your academic content will need to be relevant to a K+ Pathway.
This role will require a commitment of 26 hours work before, during and after the Spring/Summer School. Hours will be broken down as follows:
6 hours for preparation
4 hours for compulsory training.
10 hours are to be completed at the Spring/ Summer Schools
6 hours for marking
Prior to the Spring/Summer school you will need to prepare:
A one-hour seminar on an area of research relevant to a K+ Pathway. The seminar should highlight how your chosen research area connects to various subfields. For example, a History PhD student might introduce Youth Culture, explaining how it relates to topics like music, politics, or social movements.
Five different research question briefs (covering a range of disciplines / topics related to your research area) that can be distributed to students. These should be accessible to Year 12 students to understand and include a suggested reading / resources list to guide independent exploration.
During the Spring/ Summer School you will deliver content across 2 days.
On Day 1 you will:
Deliver a one-hour seminar for 20-25 students which includes discussion questions to encourage interaction and engagement.
Deliver a session on Choosing a Research Question (the same session will be repeated twice for two groups of 10-13 students).
Guide students in selecting a specific question within their chosen research brief to focus on for their academic poster project.
Support students as they outline ideas for their academic poster, which they will complete in the weeks following the Spring/ Summer school.
On Day 2 you will:
Support students to work as a group to develop a pitch based on the research area they explored on Day 1. The pitch should be fun and dynamic, designed to replicate a funding pitch scenario (think Dragon's Den!). A panel of judges will decide which research area deserves the most funding based on the persuasiveness of each pitch.
Help groups refine their ideas and ensure they are on the right track by answering questions and providing feedback during pitch preparation time.
Encourage creativity while keeping the pitch academically grounded.
All academic activities will be supported by our Widening Participation Student Ambassadors (current King?s Undergraduate / Masters students) and the SMWP team.
After the Spring/ Summer School
Students will individually complete their academic poster projects, building on the work they completed in their Spring / Summer School. The posters will be displayed at a conference celebrating their achievements a few weeks later (attendance at the conference for PhD Student Supporters is optional).
Once the conference is complete, we will send you copies of your students' academic posters so that you can provide feedback. The feedback should be approximately 100-150 words with the aim of encouraging the student to continue their academic exploration of the research area.
Delivery dates by Pathway:
Pathway
Training dates
Delivery dates
Marking dates
Psychology, Psychiatry & Neuroscience
Thurs 13th March (1 hour)
Sun 27th July (3 hours)
Thurs 31st Jul - Fri 1st August
By Monday 8th September
Qualifications
PhD in progress or Postdoc
Skills
Essential criteria:
PhD (in progress) or Postdoc in Dentistry, Life Sciences and Medicine or a related field
Ability to work independently
Ability to engage and enthuse a group of young people on an academic topic
Desirable criteria:
Experience working with young people aged 16-18
Experience teaching/ delivering sessions to young people
Experience delivering an academic poster at a research conference
Please note that all successful applicants will be required to complete a DBS check (cost covered by SMWP).
Neurodegenerative disorders are the greatest health challenge of our century. To date there is no way to prevent it or even slow its progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it.
We are a globally leading multidisciplinary research institute of 850 staff investigating the spectrum of neurodegenerative disorders causing dementia, with laboratory-based research groups located at University College London, the University of Cambridge, Cardiff University, Edinburgh University, Imperial College London, and King?s College London.
Centre context
King?s
Researchers at the UK DRI at King?s use innovative approaches to explore the biological mechanisms involved in neurodegenerative diseases. Their goal is to defeat dementia by uncovering vital new knowledge that will lead to the design of smarter diagnostics and effective treatments. The team aim to understand the fundamental biological processes involved in dementia at a molecular level ? and to use that knowledge to design new ways to diagnose and treat disease more precisely.
Qualifications
MSc in Neuroscience and knowledge of neurodegeneration biology
Skills
Professor Chris Shaw is seeking and enthusiastic and organised Laboratory Technician to work on a project to identify converging pathological mechanisms across genetic forms of amyotrophic lateral sclerosis (ALS) utilising a range of analytical approaches on a range of human iPSC, primary rodent neuron and transgenic mouse models. These include high content and super-resolution imaging and biochemical techniques.
This position will require attention to detail, as well as a willingness for occasional weekend work in the context of cellular work. The Shaw lab is highly collaborative. You will join a multidisciplinary team on the Denmark Hill Campus with a leading role in:
Designing and performing experiments and detailed data analysis
Providing significant contribution to the production of research papers in high impact journals
Developing technical advances and finding innovative solutions to problems and developing novel lines of research
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