January 2024 newsletter

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going out around the 19th January- please comment with any content you'd like included

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University of Birmingham: 125th Anniversary Opportunities: Fellow and Chair roles Deadline: Tuesday 30 January 2024

In 2025, the University of Birmingham will be celebrating 125 years of University status by Royal Charter. To celebrate, they will be appointing 100 new Anniversary Fellows and 25 new Anniversary Chairs. These roles are open to global talent with an outstanding record of research excellence, including researchers in the fields of AI and data science.

Recruitment will remain open until 2025, with the deadline for the first phase of applications being 30 January 2024.

More details and application information here.

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https://link.springer.com/article/10.1186/s13395-023-00330-2 chris banerji new paper

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enrichment applications open (again)?

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We have three fully-funded (internationals included) PhD studentships available within Sussex AI, starting in September 2024! This is a great opportunity to for doctoral research in our interdisciplinary Centre of Excellence based at the University of Sussex, where we are the focal point for research in AI methods and applications. We encourage prospective students to submit innovative proposals that either:

• Engage with theoretical challenges in Artificial Intelligence.
• Develop new Artificial Intelligence methods that have potential to enable novel applications.
• Address complex problems that require research at the intersections of traditional disciplinary boundaries.https://www.sussex.ac.uk/study/fees-funding/phd-funding/view/1686-Sussex-AI-PhD-Studentship

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knowledge share

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ellens scholar event

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Xixuan- scholar of the month?

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https://www.bristol.ac.uk/jobs/find/details/?jobId=330999&jobTitle=Senior%20Lecturer%20(Associate%20Professor)%2FLecturer%20in%20Artificial%20Intelligence

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Hello Everyone :wave:

New opportunity: PhD Student Presentations and Networking :date: 8 March 2024 :round_pushpin:London (in person)

You can register to join this Turing event at The Alan Turing Institute if you're interested in meeting other AI and Data Science PhD students and sharing research.

Deadline to register: midday 2 February 2024

:point_right: link to register: https://www.eventsforce.net/turingevents/frontend/reg/thome.csp?pageID=138231&eventID=342&traceRedir=2

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It’s time to announce the speaker for our next event in February! Malcolm Barrett will be talking about very exciting new features in his ggdag R package — don’t miss it! See full details below. TITLE: Causal Diagrams in R with ggdag: New tools for better DAGs SPEAKER: Malcolm Barrett (Stanford University) DATE/TIME: Monday 5th Feb, 15.00-16.00 GMT LOCATION: Zoom REGISTER HERE: https://turing-uk.zoom.us/meeting/register/tJEocu6vqzstG9Dh5Y_pFI2H3DOC8-1U0set ABSTRACT: Causal diagrams are a key tool in visualizing and understanding causal assumptions. ggdag joins the powerful algorithms of the dagitty R package with the beautiful visualizations of ggplot2. When I developed ggdag in 2017, I was focused on making decent-looking, analyzable DAGs quickly. This is great for prototyping but not for communication or even supporting your own process of thinking through DAGs. Mesmerized by the mathematics of DAGs, I was less focused on the practical side of DAG development. Now, despite being my oldest R package, ggdag is going through a renaissance as I’ve learned more about what’s actually hard about making DAGs. I’ll talk about new tools in ggdag, like automatic time-ordering, creating and pruning fully saturated DAGs, easier customization, and better support for DAG-data consistency checks. SPEAKER BIO: Malcolm Barrett is an epidemiologist and research software engineer at Stanford University. After receiving his Ph.D. in epidemiology from the University of Southern California, he worked as a data scientist at Apple and Posit. His work has focused on causal inference methodology and software development, including many R packages for causal inference. Collectively, open-source tools he has authored have millions of downloads. Malcolm also teaches workshops and courses in R, software development, and causal inference.

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Call for Fellowship applications - HDR UK Big Data for Complex Disease Driver Programme :sparkles: Big Data for Complex Disease (BDCD) Driver Programme is offering up to five generously funded Fellowships, each of up to four years at any of nine eligible universities. More information here.

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https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=169888

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Applications for the Turing Internship Network are open – apply now! 2023 Enrichment students (March leavers), applications are open to join a placement with the Turing Internship Network until Tuesday 20 February, 11:00 BST. Now recruiting for the eighth time since launching in 2020, The Turing Internship Network offers doctoral students currently enrolled in a PhD at a university in the UK or Ireland the opportunity to undertake exciting and unique 3–12 month placements at one of the Turing’s partners, with an indicative start date of May 2024. In this new recruitment round, there are 7 paid internship opportunities in areas of research spanning from digital twins for clinical trials, data science applied to the education sector, and large language models for justice reports. We are offering opportunities at Accenture, Ministry of Justice and the education start-up Everybody Counts. :point_right: Find out more about the internships, the eligibility and how to apply, or contact internshipnetwork@turing.ac.uk.

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https://www.turing.ac.uk/events/ai-womens-health-meeting-january

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Calling all health and allied professionals using cancer risk prediction tools - the Cancer Data Driven Detection (CD3) initiative needs your views! CD3 is a proposed new, national research initiative dedicated to using data to revolutionise our understanding of cancer risk and to allow early interception of cancers. CRUK are leading the project with support from Health Data Research UK (HDR UK), The Alan Turing Institute, the Economic and Social Research Council’s Administrative Data Research UK programme (ADR UK), and the Engineering and Physical Sciences Research Council (EPSRC), with involvement of the National Institute for Health and Care Research (NIHR). The ambition is to bring expertise in cancer risk, epidemiology, multi-omics, early detection, prevention, health informatics and data science together with insights from clinicians, patients and the wider public to enhance the UK’s ability to prevent, detect and diagnose cancer early. 10 min survey: https://www.thiscovery.org/project/share-your-views-on-the-clinical-priorities-for-cancer-risk-prediction This consultation aims to generate insights into how improvements in cancer risk prediction should be targeted to ensure most benefit to routine clinical practice.

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https://ai-uk.turing.ac.uk/exhibitions-2024/?utm_source=LinkedIn&utm_medium=Text_link&utm_campaign=AI-UK_Demonstrations AI UK booth