The training will involve schools, seminar series, secondments to industry partners of several months' duration, as well as outreach events.
Schools
The schools form an essential part of the PhD students’ training in the LIV.DAT Centre and provide additional skills to support their research, help them make industry placements a success and provide advice concerning possible career pathways in both, academia and industry.
Topics of these schools include:
- Data science and technology
- Monte Carlo simulations
- Research skills and techniques;
- Project management, communication and presentation skills
- Career management, CV writing, interview techniques
- Proposal preparation and entrepreneurship.
Training involves events organised by LIV.DAT and international partners.
Previous school events
2nd LIV.DAT Advanced Researcher Career Skills School
7th - 10th March 2022, University of Liverpool, UK
1st LIV.DAT Advanced Researcher Career Skills School
22nd – 25th March 2021, University of Liverpool, UK
LIV.DAT STFC School on Data Intensive Science
12th - 16th October 2020, University of Liverpool, UK
8th - 12th January 2018, University of Liverpool, UK
International School on Monte Carlo Simulations
6th - 10th November 2017, LMU Munich, Germany
Seminar series
To offer the students (and its staff) an opportunity to broaden their horizons in big data science, LIV.DAT invited researchers from various other organisations to speak at our virtual seminar series. Here the students learned about Big Data challenges and applications outside their own focus area, as part of their continued development.
Previous seminars
August 2022 | 17:15 (Europe/London) - Dr Adi Hanuka
Senior Software Engineer, Machine Learning, Eikon Therapeutics, CA, US
"Robust Virtual Diagnostics for Accurate and Confident Beam Properties Prediction"
(link to seminar on youtube)
June 2022 - Prof Salvatore Cuomo
Associate Professor of Numerical Analysis, University of Naples Federico II
"Physics-informed neural networks for solving Gray-Scott systems"
(link to seminar on youtube)
May 2022 - Dr Joanna Leng
Senior Research Software Engineer, University of Leeds
"How computers have changed science and predictions on how that will continue"
(link to seminar on youtube)
April 2022 - Dr Vitaliy Kurlin
Reader in the Computer Science Department and Materials Innovation Factory, University of Liverpool
"The Crystal Isometry Principle"
(link to seminar on youtube)
December 2021 - Dr Wesley Tansey
Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center (USA)
"Modeling, testing, and adaptive experimental design in high-throughput cancer drug screens"
October 2021 - Dr Stefano Albrecht
Head of the Autonomous Agents Research Group, University of Edinburgh
“Deep Reinforcement Learning for Multi-Agent Interaction”
June 2021 - Dr Myriam Neaimeh
School of Engineering, Newcastle University & Data-Centric Engineering Group, Turing Institute
"Applying data science methods to modernise transport and electricity infrastructures"
May 2021 - Professor Shirley Ho
Cosmology X Data Science Group, Flatiron Institute, New York (USA) &
Department of Astrophysical Sciences, Princeton University (USA)
“Machine learning the Universe: Opening the Pandora Box”
April 2021 - Dr Anne O’Carroll
Remote Sensing Scientist, EUMETSAT, Darmstadt (DE)
“Combining satellite data with ocean surface measurements: Sea Surface Temperature (SST) observations”
March 2021 - Professor Stephen Fairhurst
School of Physics and Astronomy, Cardiff University & Data Intensive CDT (Cardiff, Bristol, Swansea)
“Analysis of gravitational waveforms to better understand black holes”
February 2021 - Professor Simon Maskell
Dept. of Electrical Engineering and Electronics, University of Liverpool
“SMC-Stan: A Scalable and Flexible Software tool for Better Bayesian Inference
”December 2020 - Dr Jana Kemnitz
Senior Data Scientist, Distributed-AI-Systems Research Group Siemens
“Industrial Data Science, Machine-, Transfer- and Federated Learning”
November 2020 - Professor Paul Watson
Computer Science and Director of the Digital Institute, Newcastle University
“A Declarative Approach to Distributed Stream Processing”
October 2020 - Professor Brant Robertson
Dept. of Astronomy and Astrophysics, University of California (UCSC)
“Morpheus: A Deep Learning Framework for the Pixel-level Analysis of Astronomical Image Data”
July 2020 - Dr Graeme West
Department of Electronic and Electrical Engineering, University of Strathclyde
“Artificial Intelligence in nuclear power generation applications”
June 2020 - Dr Jessica Barret
MRC Biostatistics Unit, University of Cambridge
“Cardiovascular risk prediction using big data: A statistician’s perspective”
May 2020 – Dr Patrick Parkinson
Department of Physics and the Photon Science Institute, University of Manchester
“Big-data for nano-electronics”
Secondments
Projects within LIV.DAT involve collaboration with industry partners and research centres where students will spend considerable time to benchmark results from their simulation work in experiments, get hands-on experience using advanced scientific equipment and benefit from HPC platforms.
In addition, secondments have been arranged with external partners and are an integral part of the training. All students are required to do a secondment with an industrial partner on one or more of the themes of the CDT. This work should be outside the core activities of each PhD project to broaden the student’s skills. The secondments are an excellent opportunity for students to apply their bespoke LIV.DAT training to the real world, while also gaining knowledge and experience of working outside of academia.
A number of students have already completed their secondment and we have selected a few of them here to showcase accounts of their experience.
Examples of secondments
Outreach
LIV.DAT has been training the next generation of data scientists since 2017 and continues to produce a pipeline of experts that go on to work around the world in both academia and industry. To enthusiast the future generation of scientist and engineers, and to show them how the use, handling and analysis of data impacts on science and society, LIV.DAT students engage with them through symposia and other outreach events.
Physics of Star Wars
20th November 2019, University of Liverpool, UK
Accelerators for Science and Society Symposium
28 June 2019, ACC Liverpool, UK
European Week of Astronomy and Space Science
2nd – 6th April 2018, ACC Liverpool, UK
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