The research project aims to understand the experience of microaggressions at workplace and the HR initiatives taken to address and mitigate such behaviours. It would explore current best HR policies and, practices enacted by HR Professionals and provide insights into creating more inclusive environments, addressing underlying biases and promoting equity at workplace.
Role and Responsibilities
As a Research Assistant, you will:
Assist the researchers with literature reviews, data collection, and analysis as necessary for the project.
Support the researchers with qualitative interviews, surveys, or other research tasks as needed
In conjunction with the researchers, collaborate on developing research findings and project updates
Help prepare reports, presentations, and project documentation as instructed by the Researchers
Benefits
This role offers:
Pay as per the standards
Practical research experience in HRM, which is useful preparation for a Dissertation.
Mentorship and professional development
An opportunity to contribute to impactful research with real-world applications
However none of the research can be reproduced without the permission of the Researchers
Qualifications
Currently pursuing a Master degree with a dissertation component in London Met
Skills
Who would be an ideal candidate?
We are looking for students who can:
Demonstrate an interest in the research, e.g., microaggression, which are situated in organizational behaviour, and HRM fields including HR initiatives, application of HRM initiatives
Can evidence a high commitment level and a desire to work in research
Work independently and, manage their time ( including study time) to meet project deadlines
This role is a great opportunity if you are an enthusiastic worker interested in expanding and/or applying your knowledge around Equality, Diversity and Inclusion in Higher Education. If successful, you will have the opportunity to work with an inclusive, collaborative and supportive team on a project endorsed and supported by the IoPPN Senior Leadership Team.
If successful you will support the IoPPN CEDI Team in preparing our next Athena Swan Silver Award due in Spring 2025. Working with the Senior CEDI Manager, Vice-Dean (CEDI) and Self-Assessment Team, you will be responsible for analysing all relevant data including student and staff diversity, student degree attainment, staff recruitment and progression and recent survey responses. Along with analysing data, you will hold responsibility for data visualisation and presenting findings from the required datasets. You will also support drafting the application and creating an action plan that builds on insights from the data.
The IoPPN CEDI team is co-led by the Vice-Dean (CEDI), Professor Stephani Hatch and Senior CEDI Manager, Zoe Kennedy. Our approach is shaped by a co-production ethos reflecting the diversity and needs of IoPPN. We have over 100 staff and students involved in CEDI through School leadership positions, goal champions, department and team representatives and Task and Finish Groups. Together, we have led two Athena Swan Silver Awards, improved leadership CEDI engagement and accountability, increased transparency and accountability of progression processes and addressed poor representation in senior leadership positions.
Please note that due to annual leave and tight project timeframes, we will be interviewing on the afternoon of the 7th of January. If you are shortlisted, you will receive an invitation to interview on the 6th of January.
Qualifications
NONE
Skills
Experience conducting quantitative data analysis including describing or summarising data and modelling data to examine associations
Experience using PowerBI to access data and where possible familiarity with dedicated statistical software like Stata, R or Python
Experience with data visualisation and the ability to present complex data in easy to interpret ways such as data tables, plots and graphs.
Experience leading or working on large and / or complex projects that have competing demands and tight deadlines
Understanding of culture, equality, diversity and inclusion within Higher Education
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).
This role is a great opportunity if you are an enthusiastic worker interested in expanding and/or applying your knowledge around Equality, Diversity and Inclusion in Higher Education. If successful, you will have the opportunity to work with an inclusive, collaborative and supportive team on a project endorsed and supported by the IoPPN Senior Leadership Team.
If successful you will support the IoPPN CEDI Team in preparing our next Athena Swan Silver Award due in Spring 2025. Working with the Senior CEDI Manager, Vice-Dean (CEDI) and Self-Assessment Team, you will be responsible for analysing all relevant data including student and staff diversity, student degree attainment, staff recruitment and progression and recent survey responses. Along with analysing data, you will hold responsibility for data visualisation and presenting findings from the required datasets. You will also support drafting the application and creating an action plan that builds on insights from the data.
The IoPPN CEDI team is co-led by the Vice-Dean (CEDI), Professor Stephani Hatch and Senior CEDI Manager, Zoe Kennedy. Our approach is shaped by a co-production ethos reflecting the diversity and needs of IoPPN. We have over 100 staff and students involved in CEDI through School leadership positions, goal champions, department and team representatives and Task and Finish Groups. Together, we have led two Athena Swan Silver Awards, improved leadership CEDI engagement and accountability, increased transparency and accountability of progression processes and addressed poor representation in senior leadership positions.
Please note that due to annual leave and tight project timeframes, we will be interviewing on the afternoon of the 7th of January. If you are shortlisted, you will receive an invitation to interview on the 6th of January.
Qualifications
NONE
Skills
Experience conducting quantitative data analysis including describing or summarising data and modelling data to examine associations
Experience using PowerBI to access data and where possible familiarity with dedicated statistical software like Stata, R or Python
Experience with data visualisation and the ability to present complex data in easy to interpret ways such as data tables, plots and graphs.
Experience leading or working on large and / or complex projects that have competing demands and tight deadlines
Understanding of culture, equality, diversity and inclusion within Higher Education
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).
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