One year enterprise-led funded Masters by Research LU-315
This Masters by Research project in collaboration with Cellerate aiming to build automated systems which accelerate battery research, development and production by utilising algorithms from large image datasets. #engineering #algorithm
Tab Content: Overview
This projects looks to utilise object detection and classification algorithms to accelerate battery R&D. Cellerate build's automated systems to accelerate battery research, development, and production. Cellerate is passionate about making a positive impact through their work, and pride themselves on developing world-class scientific instruments and battery production systems. For this project, Cellerate is looking for an enthusiastic electronics or software engineering graduate to specialise in object detection and classification algorithms from large image datasets in a ‘You Only Look Once’ (YOLO) scenario. The right candidate will have knowledge of methods for image analysis and object classification and ideally have experience in embedded C and Python. Cellerate is based in the Manchester city centre, where you will join them for up to 50% of your time.
Deadline for applications: Midnight Sunday 5th June 2022
Project ref LU-315
Tab Content: Eligibility
Before applying for this opportunity please download and read the Graduate Researcher Application Criteria
Non-UK/home candidates: For information on home/international fee eligibility please see the university fee status webpage. From 1st January 2021, EU students are required to have a visa to enter into the UK as well as other international categories. Please check these details to see if you would need to apply for a visa and indicate this on your criteria document.
Tab Content: Enterprise & academic partners
This project will be supervised by Dr David Cheneler of Lancaster University and members of the Cellerate company team.
Cellerate, based in Manchester city centre, has a mission to accelerate discoveries across battery research, development and quality control. Our work will enable and accelerate the discovery of advanced energy storage technologies and bring about a climate revolution towards a more sustainable and better world.
This project is part-funded by the European Regional Development Fund and is subject to funding confirmation.
Benefits to you
This Masters by Research project in collaboration with Cellerate aiming to build automated systems which accelerate battery research, development and production by utilising algorithms from large image datasets. #engineering #algorithm
Tax-free earning
Get paid £16,000 tax-free
Reduced tuition fees
Have your tuition fees reduced. Your partner company pays £2,200 towards your fees, meaning students eligible for home fees pay only £2,396. International students will need to pay the remaining £21,160.
Increase your employability
Finish in a strong position to enter a competitive job market in the UK and overseas or progress on to further study.
Access to award winning talent and resources
Be part of the multi award-winning Centre for Global Eco-Innovation within a cohort of talented graduates working on exciting business-led R&D.The Centre is based at Lancaster University, so you will gain your Masters from a highly-ranked university, recognised as The Sunday Times University of the Year 2018 and International University of the Year 2020.
How to apply
Deadline: Midnight Sunday 5th June 2022
Getting started
To apply for this opportunity please download and complete the below documents:
- Graduate Researcher Application Criteria
- Application Form
- Graduate Researcher Reference– two academic references are required
Addtionally, please provide a copy of the following evidentiary documents:
- CV
- Degree transcripts
- English language certificate(s) if English is not your first language
Please email applications@cgeinnovation.org and give the product reference number (see title) along with your application documents. Please get in touch if you have any questions.
Send required documents
Send all completed documents, including a copy of your CV, degree transripts and English language certificate(s) - if English is not your first language - to applications@cgeinnovation.org by Midnight Sunday 5th June 2022 (closing date). Please ensure you give the project reference number (see title) when you send your documents.
Non-UK/home candidates
For information on home/international fee eligibility please see the university fee status webpage. From 1st January 2021, EU students are required to have a visa to enter into the UK as well as other international categories. Please check these details to see if you would need to apply for a visa and indicate this on your criteria document.
Shortlisting and Interviews
After the closing date the interview panel (consisting of the academic supervisors and business sponsor) will shortlist preferred candidates. These candidates will be invited to interview and where appropriate a candidate will be selected to deliver the project. A separate formal university application process is then completed following recommendation from the interview panel.
Please send any interim queries on the status of your application or the shortlisting/interview process to applications@cgeinnovation.org