1. Training and Placements
Laura Harkness-Brennan

2. LIV.DAT Training Overview
All students will undertake cohort training but can personalise their program
All students will receive training in Data Intensive Science
All students will develop skills and knowledge relevant to their scientific area
All students will have the opportunity to attend skills and career workshops
Training will be provided by UoL Department of Physics, UoL Department of Computer Science and LJMU Astrophysics Research Institute
Students will undertake placements at partner businesses/research institutions in areas outside their core PhD project (broadening skills, enhancing employability)

3. University of Liverpool PGR Principles
No training is credit bearing (LDC).
No training is compulsory (LDC).
All Schools will contribute a ‘training offer’ available to wider Faculty / University.
Free! No internal fund transfers.
Option: 1+3 year structure

4. MSc Big Data and HPC
MSc Big Data and High Performance Computing (HPC) has been running for 3 years
Delivered by UoL Department of Computer Science
25 students p.a.
Course designed to address skills gap for employment in field of Big Data
Works closely with commercial partners

5. Postgraduate Diploma 120 credits (exit awards PGDip 120, PGCert 60)
S1: Big Data Analysis (Comp529) 15 credits. Develop awareness of algorithmic approaches for handling batch and streaming analysis, understanding of middleware to enable algorithms to scale up to analysis of large data sets
S2: Data mining (COMP527) 15 credits. Develop a critical awareness of current problems and research issues in data mining and the ability to address data mining research issues in an original manner
S2: Multi-core programming (COMP528) 15 credits.
S2: Machine Learning and Bioinspired optimisation (COMP532) 15 credits
S2: Applied Algorithmics (COMP526) 15 credit
S1,2+3: LIVDAT Individual project 60 credits (new module to be defined) subject specific training and first year report, must not go directly into thesis (can’t be rewarded twice). Placement here would be ideal.
S1: LIVDAT CDT Winter School and Skills 15 credits (new module to be defined, similar structure to ENGG422),

6. LIV.DAT CDT Winter School and Skills
Data intensive Science seminar series: all students will present their research to physics students registered at UoL and LJMU. Will advertise to UG students.
CDT Winter School – annual 3-day winter school, delivering posters and talks in conference format. Keynote speaker in data intensive science from academia and industry. Session on Careers
Cohort visit to the STFC Hartree Centre
Outreach – Write an STFC small awards scheme proposal for an outreach event in groups (potentially to be presented at the Outreach Symposium in 2019 at the Liverpool Convention Centre)

7. Off-site training opportunities and Events
Monte-Carlo school: 6-10th November 2017 in Munich. Focus is on the FLUKA code. Carsten has tentatively booked places
HPC Training week: 12-16th March 2018 Daresbury Campus, organised by TechX and UoL
European Week of Astronomy and Space Scieince (EWASS) April 2018 – largest meeting of astronomers in Europe, with a focus on HPC, Big Data and visualisation
Outreach Symposium June 2019

8. Internal training opportunities
LJMU New MSc Data Science. Modules: Advanced Statistical Methods and Research Skills
Informal Java course run by UoL Computer science – skills for modern Big Data frameworks (Hadoop etc)
Python community HiPy (Robert Treharne)
LDC training

9. LDC Training
New Liverpool Doctoral Training Centre structure for students to identify training options including Development Needs Analysis & Personalised Training & Assessment Plans
LDC training offers categorised as : Communication and Writing, Ethics and Governance, Impact, Employability and Entrepreneurship and Research Methods
New LDC Training Website where students can search, choose & book onto all available training
Presentation skills, project management (FISTRAL) and scientific writing courses (1st year skills workshop), Researcher Career Skills (2nd or 3rd year workshop)

10. Placements Students will undertake a 6 month placement
This would ideally be in a topic outside their core thesis research
Students can also apply for LTA as a second placement
Tufts University, Fermilab, Hartree, John Caunt Scientific, Value Chain, Clatterbridge Cancer Centre, ViALUX, Daresbury Lab, FBK, CERN, CIVIDEC, Angel Solutions Ltd, Canberra, NNL, MPA, Adaptix, IAC, FOTON and others..

11. Discussion Adopt the 1+3 model?
Are the COMP modules the most relevant to our students?
What programming languages will the students use? What existing programming training opportunities are there, do we need alternatives?
What other training can be offered to the students?