Advert for Funded PhD Studentship at Lancaster University

Fully funded PhD studentships at the EPSRC Centre for Doctoral Training in Statistics and Operational Research in Partnership with Industry (STOR-i), Lancaster University

Have you just finished your degree, or are coming to the end of your masters?

Would you like to solve real-life problems using statistics and operational research to have positive impact on business, the economy or society? Then why not consider applying to the STOR-i Centre for Doctoral Training to start in October 2024?

Joining STOR-i will enable you to:

– Make significant scientific and industrial impact with your research

STOR-i has an internationally leading reputation, training skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance.

– Work directly with leading industry partners

Many of our PhD projects are developed and involve collaboration with our industrial partners. Projects provide a unique research and training experience and an exciting opportunity for you to develop mathematical innovation inspired by contemporary real-world challenges. Partners include BT, Morgan Stanley and Tesco.

– Engage with our network of charitable partners

Students have the opportunity to engage with our charitable partners, British Red Cross, Cancer Research UK, Fareshare, Home Start UK and Nesta. Mechanisms include extended data dives, charity focussed career talks and collaborative research opportunities.

– Be mentored by internationally recognised research leaders

Our cohort-based, 4-year scheme offers a distinctive PhD training experience. During this structured PhD programme, you will complete several modules to develop your research skills and will be mentored by internationally recognised academics. We also have successful collaborative partnerships with leading international universities.

– Be part of an exciting community of like-minded peers

The programme builds on our experience of training over 100 PhD students in partnership with industry since 2010.  Graduates from STOR-i have embarked on exciting careers in academia and industry, working with numerous partner companies and other organisations including British Airways, EDF Energy and the Williams Formula 1 Team.

Applications open for October 2024

We have funding available for UK eligible (including Republic of Ireland) applicants. Studentships include a generous tax-free stipend (£21,237 in year 1), fees and an allowance to support training and research related activities. Stipends increase up to £24,237 per year on successful progression to PhD at the end of the first year of the programme for students undertaking industry-funded PhD projects.

Please visit our website to find out more: https://www.lancaster.ac.uk/stor-i/apply/. Dr. Anna-Lena Sachs | Senior Lecturer in Predictive Analytics
Lancaster University Management School
Contact me on Teams
https://www.lancaster.ac.uk/people-profiles/anna-lena-sachs

University of Auckland – Department of Engineering Science and Biomedical Engineering Seminar: Prof. Michael C. Ferris “Modeling for design and impact”

At 2 pm on Wednesday 27th of March there will be a seminar from visiting academic Prof. Michael C. Ferris from the University of Wisconsin-Madison. The seminar will be held in 439-G10 (70 Symonds St) and followed by refreshments in the Level 2 common room.

Speaker: Michael C. Ferris, Jacques-Louis Lions Professor of Computer Sciences, University of Wisconsin-Madison

Title:  Modeling for design and impact

Time: 2 pm, Wednesday 27th of March

Location: 439-G10

Abstract:

Many of us build (computer/mathematical) models that capture physics, dynamics, stochastics, discrete choices, and to some extent behavior: collaboration, competition. Such models can be complex and difficult to explain, often ignored by decision makers, yet their solution can lead to fundamentally new insights.

How can we use models in practice to determine good actions/designs?

What needs to change in the model (and its complexity), and what skills does a user need to acquire?

We will centre this discussion using data science, energy planning, and dairy decision making examples.

About Michael:

Michael Ferris is John P. Morgridge Chair in Computer Sciences & Jacques-Louis Lions Professor of Computer Sciences, and (by courtesy) Mathematics and Industrial and Systems Engineering at the University of Wisconsin-Madison.

As Director of Hub Central in the Wisconsin Institutes for Discovery, he leads the algorithmic and interface development for large scale problems in mathematical programming, including links to the GAMS and AMPL modeling languages, and general purpose software such as PATH, NLPEC and EMP. He has worked on many applications of both optimization and complementarity, including cancer treatment planning, energy modeling, economic policy, traffic and environmental engineering, video-on-demand data delivery, structural and mechanical engineering. Ferris is a SIAM fellow, an INFORMS fellow, received the Beale-Orchard-Hays prize from the Mathematical Programming Society and is a past recipient of a NSF Presidential Young Investigator Award, and a Guggenheim Fellowship. He serves on the editorial boards of INFORMS Journal on Computing and Optimization Methods and Software.