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Position: Research Fellow - Predicting Li-ion Battery Ageing with Statistical Machine Learning
Institution: University of Warwick
Location: Coventry, England, United Kingdom
Duties: We are looking to recruit a post-doctoral Research Fellow to join the Energy Systems group at WMG whose expertise is in the area of modelling battery degradation at a cell level. The candidate will develop advanced predictive Li-ion battery degradation models by combining physical degradation models together with statistical machine learning methodologies to quantify the prediction uncertainty. The project objective is to advance the predictive capability of li-ion battery degradation and its uncertainty for a wide set of complex battery usage profiles
Requirements: The successful candidate will ideally have skills in some of the following areas: Modelling li-ion battery degradation using multi-physics approaches. Quantify prediction uncertainties and estimation error. Familiar with parameterisation techniques. Model development and validation using Matlab/Simulink or equivalent. Ability to facilitate model usage by a range of stakeholders. Have good experience, or a deep interest, in the fields of electric vehicles, renewable energy or connected and autonomous vehicles. Honours degree, 2.1 or above in a relevant field (engineering, mathematics, physics, computer science)
   
Text: Research Fellow - Predicting Li-ion Battery Ageing with Statistical Machine Learning (100272-088) Click here to go back to search results Apply Now Vacancy Type/Job category Research Only Department WMG Salary ?29,799 - ?38,833 per annum Location University of Warwick, Coventry Vacancy Overview Fixed Term Contract for 2 Years We are looking to recruit a post-doctoral Research Fellow to join the Energy Systems group at WMG whose expertise is in the area of modelling battery degradation at a cell level. The candidate will develop advanced predictive Li-ion battery degradation models by combining physical degradation models together with statistical machine learning methodologies to quantify the prediction uncertainty. The post is part of a collaborative project together with the Warwick Computer Science and Statistics department (Dr. Theo Damoulas) funded through the WMG High Value Manufacturing Catapult centre. The project objective is to advance the predictive capability of li-ion battery degradation and its uncertainty for a wide set of complex battery usage profiles. Data for the activity will be from the new Long Term Ageing facility that is commissioned to start in WMG this month. The candidate will work together with another Research Fellow (based in Computer Science and Statistics) and engage in discussions with Prof. Tony Hey (Chief Data Scientist at STFC - Science and Technology Facilities Council, UK) on project results and ideas. There will also be discussions on project findings with Jaguar Land Rover and other industry partners of the HVM Catapult programme. WMG Energy Systems Group The WMG Energy Systems Group specialises in multidisciplinary research addressing the challenges of sustainable mobility that include the integration of complex electrical systems, energy storage and management of advanced propulsion technology. Energy Storage Modelling and Ageing The successful candidate will ideally have skills in some of the following areas: ? Modelling li-ion battery degradation using multi-physics approaches ? Quantify prediction uncertainties and estimation error ? Familiar with parameterisation techniques ? Model development and validation using Matlab/Simulink or equivalent ? Ability to facilitate model usage by a range of stakeholders ? Have good experience, or a deep interest, in the fields of electric vehicles, renewable energy or connected and autonomous vehicles. If you require further information about this position, please contact for an informal discussion: Dr. Dhammika Widanalage (Dhammika.Widanalage@warwick.ac.uk) For candidates who have not yet been awarded a PhD but are near to submission or have recently submitted their PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (?28,936). Upon successful award of the PhD and evidence of this fact, candidates will be promoted to Research Fellow on the first point of the level 6 University grade structure (?29,799). Job Description JOB PURPOSE You will undertake research into the modelling, validation and application of multi-domain, electrochemical-energy-storage simulation models to improve lifetime predictions that are required to realise future advances in electric vehicles (EVs) across a range of sectors and smart grid energy storage. DUTIES AND RESPONSIBILITIES Project Specific 1. To carry out modelling research in li-ion battery degradation and life-time prediction, in collaboration with Warwick Computer Science and Statistics, on the relevant HVM Catapult work stream: Probabilistic deep-learning for EV battery life-time prediction 2. To work on set deliverables and report on progress updates during research and identify routes for further exploitation. 3. Work and collaborate with the Energy Innovation Centre at WMG, which enables energy storage, R&D; Digital Validation and Verification ? including specialist simulation, digital performance prediction and whole system modelling. 4. To share information with colleagues and partner companies, and produce clear recommendations in a range of formats. 5. To manage research aspects of the project including contributing to academic publications, technical reports and other presentations and dissemination methods. 6. To assist with the development and delivery of teaching and training materials to disseminate the research findings in a format that will encourage successful implementation. 7. To identify, evaluate and recommend suitable modelling software to support the project objectives. This includes carrying out suitable benchmarking studies to evaluate the software performance in each topic area. 8. To help draft research reports for the Principal Investigators. Research 1. To establish a sound research base within the Department in order to pursue individual and collaborative research of high quality consistent with making a full active research contribution to the Department in line with its research strategy. 2. To manage research projects within the University, which includes supervising post-doctoral research assistant, research students, technical and other support staff engaged in research. 3. To consider the value of research achievements within their potential commercial context and where appropriate and with the assistance of the Research Support Services, take appropriate action to protect such research results by patent application or copyright to the potential benefit of the University. 4. To publish research outcomes in appropriate journals of international standing and to publish and disseminate the result of research and scholarship in other reputable outlets. 5. To identify and explore with the Department and the University any entrepreneurial opportunities which may arise and to ensure that intellectual property rights are protected for the benefit of the University and the researcher. 6. To attend and present research findings and papers at academic and professional conferences, and to contribute to the external visibility of the department. 7. To contribute to the research plans developed by the Department, including providing such information as may be required by the Department to monitor the progress of each member of staff?s research programme and to support the Department fully in the preparation of material required for the RAE or similar activities. Administration and Other Activities 1. To undertake such specific departmental roles and management functions as may be reasonably required by the Head of Department. 2. To attend departmental meetings and to participate (where necessary) in other committees and working groups within the department, the faculty and the University. 3. To participate in relevant professional activities. 4. To engage in continuous professional development. 5. To undertake external commitments, which reflect well and enhance the reputation of the University. 6. To ensure compliance with health and safety in all aspects of work. The duties and responsibilities outlined are not intended to be an exhaustive list but provide guidance on the main aspects of the job. The postholder will be required to be flexible in their duties. Person Specification The Person Specification focuses on the knowledge, skills, experience and qualifications required to undertake the role effectively. This is measured by (a) Application Form, (b) Test/Exercise, (c) Interview, (d) Presentation. Essential Criteria 1 Honours degree, 2.1 or above in a relevant field (engineering, mathematics, physics, computer science) (a) Essential Criteria 2 Possession of a PhD in a relevant discipline (electrical, mechanical engineering, mathematics, computer science or physics) (a) Essential Criteria 3 Good numerical methods or experience in implementation and application of electrochemical battery models (a), (c), (d) Essential Criteria 4 Good effective communication (oral and written) skills, presentation and training skills (a), (c), (d) Essential Criteria 5 Good interpersonal skills (a), (c) Essential Criteria 6 Ability to work independently and as part of a team on research programmes (a), (c), (d) Essential Criteria 7 Ability to initiate, plan organise, implement and deliver programmes of work to tight deadlines (a), (c), (d) Essential Criteria 8 Competency in IT and familiarity with a computerised environment (a), (c) Essential Criteria 9 Evidence of quality research output from experienced candidates or strong research potential from less experienced candidates (a), (c) Essential Criteria 10 Ability to contribute to research reports and papers in styles accessible to both academic and policy audiences (a), (c) Desirable Criteria 1 Experience in statistical machine learning (a), (c) Desirable Criteria 2 Good understanding of a diverse range of battery technology (Solid state, metal air, Na-ion, Li Sulphur) or a good understanding of Li-ion electrochemistry and battery degradation mechanisms (a), (c) Desirable Criteria 3 Experience in electrochemical test and characterisation procedures (a), (c) Desirable Criteria 4 Modelling various battery degradation mechanics (a), (c) Desirable Criteria 5 Ability or potential to generate external funding (grants, contracts etc) to support research projects (a), (c) Further Particulars For further information about the University of Warwick, please read our University Further Particulars . For further information about the department, please visit the departmental website . Right to work in the UK If you do not yet have the right to work in the UK and/ or are seeking sponsorship under Tier 2 of the UK points-based immigration system please click on this link which contains further information about obtaining right to work in the UK and details about eligibility for sponsorship under Tier 2. Working Environment​ At WMG we are committed to supporting staff to achieve their potential. We currently hold the Athena SWAN Bronze Award and the University of Warwick holds an Institutional Silver Award: a national initiative that recognizes the advancement of gender equality, representation, progression and success for all in academia. We are supportive of staff with caring responsibilities including a generous maternity/paternity/adoption/parental leave policy, onsite childcare facilities and the childcare vouchers scheme. We will consider applications for employment on a part-time or other flexible working basis, even where a position is advertised as full-time, unless there are operational or other objective reasons why it is not possible to do so. The University is an equal opportunities employer and welcomes all applications. However, please note that due to the toxicity of chemicals used within this role, it is not a suitable role for pregnant women or those that are breastfeeding. The University reserves its rights under Schedule 22 of the Equality Act 2010 to ensure the protection of women in relation to pregnancy or maternity. Recruitment of Ex-Offenders Policy As an organisation using the (DBS) Disclosure and Barring Service to assess applicants? suitability for positions of trust, the University of Warwick complies with the DBS Code of Practice and undertakes not to discriminate unfairly against any subject of a Disclosure on the basis of a conviction or other information revealed. More information is available on the University?s Vacancy pages and applicants may request a copy of the DBS Code of Practice. Other Information The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual?s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010. Closing Date 2 Sep 2018 Apply Now Email this job to a friend
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