SWDTP

Quantum Machine Learning
2025-11-21 09:30 - 12:30, 2025-11-14 09:30 - 12:30, 2025-11-07 09:30 - 12:30 (Europe/London) | Zoom
This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS).
SENSS Specialist Training: Quantum Machine Learning
Instructor: Dr Jan Novotny (Centre for Econometric Analysis, Bayes Business School and Nomura International)
Term: Autumn 2025

Module Outline and Aims

Recent breakthroughs in quantum computing have ushered in a transformative era in computational science, redefining the boundaries of what is algorithmically possible. This course explores the intersection of quantum mechanics and machine learning, offering participants a gateway into a radically new paradigm where quantum principles enable novel approaches to data processing, optimization, and pattern recognition. As quantum hardware continues to evolve, understanding its theoretical foundations becomes essential for researchers poised to shape the future of intelligent systems.
This course introduces the principles of quantum computing, including qubits, entanglement, superposition, and quantum gates. Through a blend of theoretical lectures and hands-on exercises, participants will gain fluency in quantum algorithms and their applications to machine learning tasks. The curriculum bridges classical and quantum machine learning frameworks, highlighting both the conceptual shifts and practical implications of transitioning to quantum-enhanced models.
A distinctive feature of the course is its emphasis on experiential learning. Students will engage directly with quantum programming environments and, where possible, run experiments on real quantum hardware. By the end of the course, participants will not only be quantum-computing literate but also equipped to apply the cutting-edge research in quantum machine learning in their respective fields. This course is ideal for those seeking to expand their computational toolkit and explore the frontier of intelligent systems in the quantum age.

Prerequisites
Students are expected to have a knowledge of statistics and basic working knowledge with Python and jupyter notebooks.

Software
Participants will use Python within jupyter notebooks along the standard machine learning libraries (sci-kit) and Qiskit.

Content Outline

Fundamental principles of the quantum mechanics and quantum computing
The NISQ computers and the basic operations using quantum gates
Key quantum algorithms
Hands-on calculations using quantum computer simulators as well as real hardware
Using quantum computing as an extension to the traditional machine learning toolkit

Learning Objectives
By the end of the session, participants will be able to:

Understand the principles of quantum computing.
Run the quantum machine learning algorithms as a part of their machine learning workflow
Be aware of the strengths of the quantum computing and assess the applicability for the real world problems.

Main References

Jacquier, Antoine, et al. “Quantum Machine Learning and Optimisation in Finance.” Birmingham: Packt Publishing Ltd (2022).
Hastie, Trevor, Robert Tibshirani, and Jerome Friedman. “The elements of statistical learning.” (2009). (online edition)

Please ensure you meet the prerequisites before registering.
Sign up form: https://essex.eu.qualtrics.com/jfe/form/SV_0VVlyLJs53pL7XE
Please direct enquiries to: trainingmanager@senss-dtp.ac.uk

UK Global Talent Visa Deep Dive Webinar- From PhD student to UK Global Talent
2025-11-20 10:00 - 12:00 | Online
In this session, I will help PhD students and recent graduates understand the UK Global Talent Visa, focusing on the Academic & Research route. At the end of the webinar they will;

1. Understand the purpose and structure of the Global Talent Visa – who it’s for, what makes someone eligible, and how it differs from other UK visa routes
2. Identify the core requirements and documents needed
3. Break down the Academic and Research endorsement pathway – from preparing your application to receiving your decision.
4. Review key documents including how to write a standout personal statement, structure your CV, and secure letters of recommendation 5. Learn how to evidence your research contributions and potential
6. Get clear on next steps and how to start preparing even if you’re still completing your PhD.

Code Anxiety Club
2025-11-11 13:30 - 14:00 | Online
Why attend?

Feeling overwhelmed by the command line? Confused by file pathways? Want to navigate the world of coding with confidence? Join the Code Anxiety Club!

Viewers can follow along as we work through common beginner topics while coding live for a quick half hour. No prior experience installed software or setup required. Viewers can interact via the YouTube chat (you must have a YouTube account to comment) and we will try our best to answer your questions and comments.

There is no need to book a place, please follow the livestream link to join the session.

Workshop date and topic:

Project organisation: Best practices for coding projects

Content:

Get to grips with naming conventions and why consistency is key.
Understand how to structure your directory.
Learn how to ‘set your directory’ so that you can easily read-in files in Python (Visual Studio Code) or RStudio.

To join this session, please follow the link to our livestream – 11 November 2025

Viva Survivor Training with Nathan Ryder
2025-11-11 10:00 - 13:00
The viva is almost the end of the PhD. A lot of work leads to this point, but often anxiety can mix with the sense of achievement at completing the thesis. For many candidates the time before the viva is filled with uncertainty about the day, uncertainty about how to prepare well – and stress for what the viva might be like.
Viva Survivor is for postgraduate researchers who want to know how to be ready for their viva. In this three-hour live webinar, you will:
• learn realistic expectations for the PhD viva;
• identify key practical steps to take before submission;
• explore practical strategies for preparation and the day of the viva.
Time will be spent exploring expectations for both in-person and video vivas, and there will be plenty of time for Q&A over text chat. Viva Survivor will be delivered live by Dr Nathan Ryder over Zoom. Registration is limited to 25 places.

Demystifying the publishing process and Open Access
2025-11-04 11:00 - 12:00
Publishing is central to being a researcher but we seldom talk about how you publish and what you need to do to look after yourself in the process. This session will talk through common routes to publishing and how to deal with, the infamous, Reviewer 2. Publishing your work is not just about what you say, but how you say it. Open Access is a key part of the ‘how’ of research communication, particularly if you’re work is supported by a funder who requires you to make your research freely available. In this webinar, you’ll find out about the different free and paid routes to Open Access and start to think about Open Access publishing as part of broader ethical research practices.
The speaker for this session is Dr Kate Holmes who is an Open Access Advocacy Research Support Librarian at The University of Bristol.
This session is open to all interested attendees so please feel free to share widely. Attendance is free but please register to secure a place. Register on Ticket Taylor: https://buytickets.at/swdtp/1870887

Modelling Big Data using Autometrics
2025-10-31 09:30 - 12:30 | Zoom
This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS).

SENSS Specialist Training: Modelling Big Data using Autometrics
Instructor: Dr Elisabetta Pellini (Bayes Business School)
Term: Autumn 2025

Module Outline and Aims
In the age of big data, researchers and analysts increasingly face challenges of model selection, overfitting, and interpreting complex high-dimensional datasets. This session introduces Autometrics, a powerful econometric modelling tool designed to automate model selection in large datasets while maintaining strong statistical foundations.
Autometrics is part of the OxMetrics suite and builds on the general-to-specific (Gets) modelling philosophy. It enables users to extract robust models from large sets of candidate variables, making it especially suitable for empirical work in economics, finance, and the social sciences where theory may not fully specify the data-generating process.
This practical session will combine core theoretical principles with hands-on demonstrations, using real-world data examples to illustrate how Autometrics addresses the challenges of modelling with many variables.

Prerequisites
Students are expected to have a knowledge of statistics (descriptive and inference) and basic econometrics.

Software
Participants will use OxMetrics during the session. Instructions for installation will be provided in advance.

Content Outline

General-to-specific (Gets) modelling and the problem of model selection
Autometrics algorithm: overview and logic
Diagnostic testing and model evaluation
Hands-on modelling with real-world big data using Autometrics

Learning Objectives
By the end of the session, participants will be able to:

Understand the principles behind general-to-specific model selection and how Autometrics operationalises these.
Recognise the challenges of modelling large datasets, including overfitting, multicollinearity, and irrelevant variables.
Critically evaluate the strengths and limitations of automated model selection tools in empirical research.

Main References

Doornik, J.A., 2009a. Autometrics, in: J.L. Castle, N. Shephard (Eds.), The Methodology and Practice of Econometrics, Oxford University Press, Oxford (2009), pp. 88–121.
Hendry, D.F., and J.A. Doornik (2014). Empirical Model Discovery and Theory Evaluation. MIT Press.
Hendry, D.F., and J.A. Doornik(2018). Empirical Econometric Modelling – PcGive 16: Volume I. Timberlake Consultants Press, London.

Please ensure you meet the prerequisites before registering.
Sign up form: https://essex.eu.qualtrics.com/jfe/form/SV_9Zit5afuGNbuIfk
Please direct enquiries to: trainingmanager@senss-dtp.ac.uk

SWDTP Conference - Everyday and Beyond: Encountering, Sharing, Caring
2025-10-30 10:00 - 17:00
The SWDTP Annual Student Conference is an event created for students, by students. It presents a fantastic opportunity to engage in a dynamic and inclusive platform that promotes innovative ideas and critical reflections on the future of social sciences.

This year’s conference theme is:
Everyday and Beyond- Encountering, Sharing, Caring.

This conference involves plenary and breakout sessions. Please navigate to the Conference Agenda to read more about the sessions, as you will have to indicate your preferences as part of the registration form.

Agenda: https://www.swdtp.ac.uk/swdtp-student-conference-agenda-2025/

We are pleased to invite all social science research students (whether funded by the SWDTP or not) to register to this free event, being held in the Commons Building of Bath Spa University on Thursday October 30th 2025.

Justice beyond Criminal Justice
2025-10-29 09:00 - 17:00 | University of Bath, 8 West Room 2.23, Bath, BA2 7AY, United Kingdom
A one-day, in-person symposium bringing together academics from across the social sciences to explore the justice processes that sit outside of the formal criminal justice system, used in response to serious harm and injury.

This event is a collaboration between the Criminology Research Group at the University of Bath, the SWDTP, and the British Society of Criminology (South West). The keynote speaker is Professor Richard Moorhead (University of Exeter), who will be sharing his research on the Post Office IT Horizon Inquiry. The event also incorporates panels for oral presentations, as well as a parallel poster and art-work exhibition session. There will be an optional training session for attendees to learn more about the ethics and practicalities of using images in and for research, as well as their role in engaging non-academic audiences. There is a fund available to support those who are interested in producing high-quality photographic images to display at this event.

This event is organised by colleagues at the University of Bath, and supported in part by the SWDTP academic-led higher level training fund.

Key dates:
Abstract submission deadline: 30 September
Attendee registration deadline: 6 October
Symposium: 29 October

Further information, abstract submission instructions and registration: https://www.eventbrite.co.uk/e/justice-beyond-criminal-justice-tickets-1606523477969?aff=oddtdtcreator
Please direct enquiries to the symposium organisers.

Introduction to Machine Learning and Data Science
2025-10-24 09:30 - 12:30, 2025-10-16 14:30 - 17:30, 2025-10-10 09:30 - 12:30 | Zoom
This event is part of the Specialist Training Series on Machine Learning and Data Science delivered by the South & East Network for Social Sciences Doctoral Training Partnership (SENSS).
SENSS Specialist Training: Introduction to Machine Learning and Data Science
Instructor: Dr Elisabetta Pellini (Bayes Business School)
Term: Autumn 2025

Module Outline and Aims
In today’s global and digital economic environment, we have unprecedented access to vast amounts of data across all types of industries. It has become crucial for researchers and professionals to possess analytical skills that enable data-driven decision-making. Data science is the practice of collecting, analysing, and interpreting data that empowers decision-makers to make informed choices.
This module provides both theoretical foundations and practical skills necessary to apply machine learning and data science methods to problems in economics and finance. Theoretical concepts will be introduced in an intuitive and accessible manner. Emphasis will be placed on selecting appropriate methods for specific problems, implementing methods correctly and presenting and interpreting analytical results
Lectures will include practical, computer-based exercises using real-world datasets. Students will learn to use Python to carry out these tasks.

Prerequisites
Students are expected to have a knowledge of statistics (descriptive and inference) and basic Python knowledge (e.g., libraries NumPy, Pandas, statsmodels).

Software
Participants will use Jupyter Notebooks during the sessions for hands-on modelling demonstrations. The easiest way to access Jupyter is by installing the Anaconda Distribution, which includes Python, Jupyter, and most of the required libraries. Anaconda can be downloaded here: https://www.anaconda.com/products/distribution

Content Outline

Linear Regression

Model assumptions
Goodness of fit
Prediction
Diagnostic analysis

Linear Model Selection

Bias-variance trade-off
Cross-validation
Subset selection
Ridge Regression
LASSO

Dimensionality Reduction

Principal Component Analysis (PCA)
PCA in regression contexts

Applications in Python

Hands-on implementation using Python libraries such as pandas, scikit-learn, and statsmodels

Learning Objectives
By the end of this module, you will be able to:

Explain the fundamental principles of linear regression, including model assumptions, coefficient estimation, and diagnostic analysis.
Compare and apply model selection techniques, including subset selection, Ridge Regression, and LASSO.
Understand and implement dimensionality reduction techniques, particularly Principal Component Analysis, and assess their impact on regression models.
Critically assess the suitability of different machine learning methods for solving specific problems and justify methodological choices.
Use Python programming tools and libraries (e.g., pandas, scikit-learn, statsmodels) to perform data analysis and apply machine learning methods to real-world datasets.

Main References

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2023). An Introduction to Statistical Learning with Applications in Python. Springer.
McKinney, W. (2018). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython (2nd ed.). O’Reilly Media.

Please ensure you meet the prerequisites before registering.
Sign up form: https://essex.eu.qualtrics.com/jfe/form/SV_2n2VMaHX4Ahh7wy
Please direct enquiries to: trainingmanager@senss-dtp.ac.uk

Logical Foundations of Critical Thinking
2025-10-23 10:00 - 13:00 | 6 Worcester St, Oxford OX1 2BX
At the heart of critical thinking is the ability to reason well. When we reason, our aim is to identify beliefs or actions which are supported by current mental states of ours. This course will consider different ways in which beliefs can be supported by other beliefs as well as different ways in which actions can be supported by beliefs and other mental states.
We will look at two types of reasoning about what to believe: deductive reasoning and inductive reasoning. In good deductive reasoning, the beliefs functioning as premises provide total support for the conclusion; the truth of the premises guarantees the truth of the conclusion. In contrast, in good inductive reasoning, the premises only provide a high degree of support for the conclusion; the conclusion could be false even if the premises are true. We will discuss different conceptions of good deductive and inductive inferences.
In the area of reasoning about what to do, we will consider means-end reasoning, decision theory and moral reasoning. We will ask what legitimate role mental states like desires or emotions can play in such reasoning.

Places will be allocated on a first-come, first-served basis, and once places are full, we will maintain a waiting list.
Please only register if you are certain of your availability and commitment to attend.

This event is not delivered by the SWDTP. For enquiries, please contact granduniondtp@socsci.ox.ac.uk

Tackling the World-Wide Gambling Epidemic. What Can We Learn from Africa?
2025-10-15 18:00 - 19:30 | Great Hall, Wills Memorial Buildng, University of Bristol, Queen's Road, Bristol, BS8 1RJ
The lecture is themed around the important topic: “Tackling the World-Wide Gambling Epidemic. What Can We Learn from Africa?”
This is a Public Lecture hosted by the Bristol Hub for Gambling Harms Research at the University of Bristol.
Gambling is a growing public health issue across the globe.
The global gambling industry is worth around $580bn – that’s bigger than the GDP of 86% of countries on our planet. But its human cost is vast. Millions of people worldwide experience serious harms, from financial hardship and relationship breakdown to mental health problems and suicide. Smartphones have turned gambling into a 24/7 activity across the globe.
Join us for an insightful evening exploring innovative, community-driven approaches to reducing gambling harm, with a focus on powerful learnings from African research projects funded by the Bristol Hub.
The evening will start with a vibrant music video co-created and produced with young people affected by gambling harms in Uganda, followed by a talk on the effects it has had on youth communities.
This will be followed by a panel discussion, featuring researchers from Uganda, Nigeria, Namibia, Kenya, and South Africa, alongside Professor Agnes Nairn from the University of Bristol.
This event will uncover:

How creative and digital tools can engage young people in awareness of gambling harms

The role of gambling in migration and university settings

Advertising’s influence in African sport and media

Dissemination of gambling messaging

What the UK can learn from these diverse African perspectives

We’d love for you to join us for this important conversation. We anticipate high interest, so please register as soon as possible to secure a place.

More details on the event can be found here
For queries, email: gambling-harms@bristol.ac.uk

This event is kindly sponsored by Bristol Collegiate Research Society: The Bristol Collegiate Research Society is a charity committed to supporting an annual academic research symposium in the University of Bristol. The Society was founded in 1899 by a group of Bristol citizens who wished to assist University College Bristol gain a Royal Charter and become the University of Bristol.

Education-focused Quantitative Research Methods Workshops Using R
2025-10-09 11:00 - 18:00 | 35 Berkeley Square, Bristol, 35 Berkeley Square, Bristol, BS81JA, United Kingdom
The Centre for Multilevel Modelling (CMM) at Bristol is running two education-focused quantitative research method workshops using R at the School of Education. “R Progamming for Beginners” and “An Introduction to Rasch Modelling Using R”.
Further details and registration instructions can be found here: https://www.eventbrite.co.uk/e/two-cmm-hosted-quantitative-research-methods-workshops-using-r-tickets-1656870958639?aff=oddtdtcreator&_gl=1%2A1r1e1il%2A_up%2AMQ..%2A_ga%2AMTcyMTE2NzAyMC4xNzU3MDY0OTA2%2A_ga_TQVES5V6SH%2AczE3NTcwNjQ5MDYkbzEkZzAkdDE3NTcwNjQ5MDYkajYwJGwwJGgw

Please send enquiries to: ed-events@bristol.ac.uk

Mediation and Moderation Analysis Using R
2025-10-03 09:00 - 16:00
This one-day course introduces the concepts and techniques of moderation and mediation analysis using R, with a focus on social science applications. Participants will learn how to test for interaction effects (moderation) using regression models, conduct mediation analysis using structural equation modelling and combine both approaches to explore mediated moderation. Emphasis is placed on interpretation, visualization, and reproducible R workflows using real-world data examples.

The course covers:

A brief refresher on linear regression in R
Moderation analysis using interaction terms in regression
Probing and visualizing interaction effects
Mediation analysis using path models
Estimating indirect effects
Mediated moderation
Applied examples in social sciences
Practical coding sessions using real datasets in R

By the end of the course participants will:

Understand the conceptual foundations of moderation and mediation
Conduct moderation analysis using interaction terms in R
Interpret and visualize interaction effects
Specify and estimate mediation models using path analysis
Test indirect effects and interpret mediation results
Use SEM to explore differences in mediation across groups
Apply techniques to real-world social science datasets

The course includes hands-on computer workshops. Participants will use the R programming language.

Clean Python for Reproducible Research
2025-10-02 14:00 - 15:00
This live, practical session introduces core techniques for improving the quality and transparency of research code.
Participants will learn how to:

Write clearer, modular Python scripts
Use Git for version tracking and collaboration
Set up reusable Jupyter Notebooks for consistent workflows

No prior experience is required. The workshop is suitable for all doctoral students using (or planning to use) Python in their research.
Places will be allocated on a first-come, first-served basis, and once places are full, we will maintain a waiting list.
Please only register if you are certain of your availability and commitment to attend.
This event is not delivered by the SWDTP. For enquiries, please contact granduniondtp@socsci.ox.ac.uk

Getting to Grips with Reflexive Thematic Analysis
2025-09-30 09:30 - 16:30
This one-day online course offers a comprehensive introduction to Reflexive Thematic Analysis (RTA), balancing theoretical discussion with practical exercises. The aim of this course is to open up thinking about the processes of qualitative analysis and enable participants to enact RTA in flexible, iterative and reflexive ways as appropriate to the needs of their projects. This course is interactive, combining discussion, demonstration and practical exercises.

The course covers:
• The characteristics of RTA
• The six phases of analysis
• Engaging in reflexive practice
• Understanding quality in RTA
• Tools to support the process
• Resources for further development

By the end of the course participants will:

Understand the characteristics of Reflexive Thematic Analysis (RTA) in comparison to other approaches
Be able to describe and enact the six phases of RTA (familiarising, coding, generating initial themes, develop and review themes, refine, define and name themes, write-up)
Be able to engage in and document reflexive practices throughout the analysis process
Understand the importance of quality and what it looks like in RTA practice
Consider the appropriateness of different tools to facilitate RTA
Know where to access further resources to develop RTA practice

Resilience Through Nature
2025-09-23 09:30 - 13:00
Join us for an intimate, half-day Autumn Gathering designed to support PGR researchers and students navigating eco-anxiety, climate grief, and the pressures of academic work through creative and embodied practices in nature. Timed to align with the energies of the Autumn Equinox, this seasonal gathering invites meditative reflection, art, poetry, grounding movement, and facilitated dialogue in the woods, led by eco-poet and artist Hazel Streeter.

Please check out the link below to find out more.

Call for abstracts: Justice beyond Criminal Justice
2025-09-18 09:00 - 2025-09-30 17:00 | University of Bath, 8 West Room 2.23, Bath, BA2 7AY, United Kingdom

Reactionary Politics Summer School
2025-09-11 09:00 - 2025-09-12 17:00 | University of Bath, Bath, United Kingdom
Held in person 11-12/9/25 at the University of Bath
The summer school, run by the Reactionary Politics Research Network, provides PGR students and researchers, whether in academia or beyond, a critical space to develop essential skills for the research of reactionary politics. Sessions are led by experts on various key issues and our aim is to create an interactive environment where the participants can bring their own challenges and apply insights to their research projects.
This year, sessions will be based on:

Understanding reactionary politics (positionality, epistemology, intersectionality and terminology)
Preparing for researching reactionary politics
Doing the research
Disseminating our research

Please note this event is not organised by the SWDTP. For enquiries, please contact: Aurelien Mondon (a.mondon@bath.ac.uk), Alex Yates (ay557@bath.ac.uk) or Emmy Eklundh (eklundhe@cardiff.ac.uk)
Deadline to apply is 15/7/2025: https://reacpol.net/summer-schools/

Changing the Odds: Exploring Gambling and Gambling Harms Through Arts & Humanities
2025-09-10 09:00 - 14:00 | Humanities Research Space (Room H20), Arts Complex, University of Bristol
Can history, drama, music and culture studies shed new light on gambling and its impact?

Changing the Odds is a unique one-day symposium that puts the Arts and Humanities at the heart of the gambling harms debate. Moving beyond statistics and surveys, this event will explore the stories, meanings and creative responses that shape how gambling is understood across time and place.
The programme brings together leading researchers, artists and performers to share fresh perspectives – from the gendered history of Australian sports betting to the complex role of lotteries in sixteenth century Florence. Highlights include two live drama performances by Moveable Type Theatre, Film Director Melanie Manchot showing and talking about her recent film Stephen and an interactive discussion session with experts to spark new ideas and collaborations.

What to expect:

Inspiring talks by:

Professor Evelyn Welch, Vice-Chancellor and President, University of Bristol (Lotteries in Early Modern Italy)
Professor Martin Hurcombe, Professor of French Studies, University of Bristol (A Brief History of How Sports and Gambling are Intertwined)
Rohann Irving, University of Queensland (Sport, Gambling and Masculinity: A Gendered History of Australian Sports Betting)
Sharon Martin, University of Bristol (What Role can Songwriting play in the Lived Experience of Gambling Harms?)

Two live performances by Moveable Type Theatre exploring gambling through drama
Film Director Melanie Manchot showing and talking about her recent film Stephen
Lively Q&A sessions and a collaborative discussion
Opportunities to connect over coffee and lunch

Whether you’re a researcher, practitioner or simply curious about how the arts can deepen our understanding of gambling, this symposium promises lively debate, creative inspiration and fresh insights.

Find out more and register today – spaces are limited!

Please direct enquiries to gambling-harms@bristol.ac.uk

Walking and Working Group – Fridays in July & August
2025-08-29 00:00 - 23:59, 2025-08-22 00:00 - 23:59, 2025-08-15 00:00 - 23:59, 2025-08-08 00:00 - 23:59
Walking and Working Group – Fridays in July & August
Summer can often feel quieter and more isolating, and sometimes it’s harder to focus. To support each other through the season, we’re starting a “Walking and Working” group for July and August.
Every Friday at 10:00, we’ll meet and walk together to a peaceful place to work (e.g. Double Locks), where we’ll spend the day writing without phones or distractions, share lunch, and finish with a pint before heading back.
It’s a chance to be productive and connect with others in a relaxed and supportive setting.
All PGRs welcome!
Join our group on WhatsApp https://chat.whatsapp.com/DacGTlIN6UX7G5cYyZiNWc

UKRI Policy Internships at UKHSA - Sign up for Webinar
2025-08-21 11:00 - 12:00
UKRI Policy Internships scheme – UKRI provides an opportunity for UKRI-funded doctoral students to undertake a three-month placement at one of a selected group of influential policy organisations, UKHSA being one of them.
Deadline for applications to this scheme are 8th September by 4pm!

What’s in store during the session:

A behind-the-scenes look at UKHSA’s mission and work
First hand insights from previous interns
Meet the host teams you could be working with
Live Q&A to answer all your burning questions

Why choose UKHSA for your internship?

Be part of a multi-specialist organisation at the forefront of the UK’s health security
Work alongside leading experts in Data Science, AI, Epidemiology, Modelling, Public Health Policy, and Data Products
Access tailored learning and development opportunities
Contribute to meaningful projects with real-world impact

Whether you’re passionate about health data, policy, or making a difference through research, this is your chance to explore how your skills can help transform lives.

Don’t miss out — join us and take the first step toward a placement that matters.

Presentation Summer Camp
2025-08-12 10:00 - 12:00, 2025-08-07 10:00 - 12:00 | Zoom
We’re going to run our two most popular workshops over the summer and help you become a better presenter ahead of the next academic year.
​
So if you are starting teaching, going to conferences for the first time, want to explore new and creative ways to communicate your research, then this is for you.

For more information, please follow the link below.
