Research Officer in Machine Learning Applications in Optoelectronics and Chemical Data Analysis
Bangor University
Applications are invited for a fixed-term Post-doctoral Research Officer specialising in the application of machine learning. This position is part of an industrially funded research project and will be based in the School of Computer Science and Engineering at Bangor University.The main objective of this role is to develop a machine learning pipeline capable of identifying substances present in various materials from data obtained using Surface-enhanced Stimulated Raman Spectroscopy (SESRS). The output of Raman spectroscopy, a Raman spectrum, contains multiple components corresponding to different vibrational modes of the sample material or molecule. The project aims to explore the underlying structure of these spectra to develop a model that accurately identifies different substances.Candidates should have a PhD (or be near completion) in machine learning or a relevant discipline and have proven computer programming abilities, evidenced by available code. The successful candidate will have expertise in Python programming for machine and deep learning, e.g., sklearn, PyTorch, TensorFlow.The successful candidate will be expected to commence as soon as possible and the post is fixed-term for a duration of 9 months.The role is based on campus at Bangor in the Dean Street building. Through our Dynamic Working framework, there is the option to spend some time working remotely within the UK to support work-life balance, which will be discussed further with candidates at interview.Applications will only be accepted via our online recruitment website: http://jobs.bangor.ac.uk. For access issues due to disability, paper application forms are available by calling 01248 383865.Closing Date for Applications: 09 August 2024For informal enquiries, please contact Dr Mosab Bazargani, Lecturer in Data Science with Focus on Machine Learning and AI, at m.bazargani@bangor.ac.uk.Committed to Equal Opportunities.OverviewThe city of Bangor is located in an area of outstanding natural beauty close to the mountains of Snowdonia and the beach resorts of the North Wales coast, and offers a quality of life that surpasses that in most regions of the UK. Lying on the Euroroute to Ireland, Bangor is served by fast train services to most major cities and excellent road connections via the A55 expressway to the motorway network. Manchester and Liverpool airports are within 90 minutes away by car.Bangor University was established in 1884 and currently has over 11,000 students. It comprises 14 Academic Schools grouped into 3 colleges. The College of Sciences and Engineering at Bangor University is one of the leading centres in the UK for teaching and research in biology, environmental sciences, geography, ocean sciences, chemistry, computer science and electronic engineering.The ProjectThe project, “Low-cost and Highly Sensitive PFAS Detection using SESRS and AI”, funded by industry, aims to develop a machine learning pipeline capable of identifying substances present in various materials using data obtained from Surface-enhanced Stimulated Raman Spectroscopy (SESRS).Purpose of the JobThis position will be part of a multidisciplinary team from Bangor University and the University of South Wales. The project focuses on developing and implementing machine learning and AI tools for optoelectronics and chemistry data analysis.The post holder will be responsible for planning, conducting, analysing, and publishing a series of computational studies in collaboration with external, internal, and industrial partners.Main Duties and Responsibilities
Other Duties and Responsibilities
Person SpecificationQualifications/TrainingEssential
Experience/KnowledgeEssential
Desirable
Skills/AbilitiesEssential
Desirable
Other
GeneralThe University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We strive to develop a workforce from all sections of the community regardless of sex, gender identity, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age. We promote and facilitate the use of the Welsh language through our progressive Welsh Language Policy. We comply with the Welsh Language Standards and are committed to equality of opportunity. You are welcome to apply for any job in English or Welsh and all applications submitted will be treated equally.We are a member of Advance HE’s Athena SWAN Gender Equality charter and hold a Silver award in recognition of our commitment to and progress towards gender equality within the University’s policies, practices, and culture. We are proud to be a Disability Confident employer.All members of staff have a duty to ensure their actions are in line with the overall environmental aims of the University and minimise their environmental impact.All offers are made subject to proof of eligibility to work in the UK and receipt of satisfactory references.We have a legal responsibility to ensure that you have the right to work in the UK before you can start working for us. When you apply for this post you will be required to explain the basis upon which you believe you will able to live and work in the UK legally on the commencement date of the role should your application be successful. If you do not have the right to work freely in any position in the UK already, any offer of employment we will make to you will be subject to you obtaining a right to work visa. The following link provides information on the various visa routes into employment and the eligibility requirements (including switching visa status where permissible) . If you are successful in your application we will discuss visa options with you at the time of making the offer of employment.Candidates should also note that they may be required to apply for an ATAS certificate (Academic Approval Technology Scheme) from the Counter-Proliferation and Arms Control Centre of the Foreign, Commonwealth and Development Office before being able to apply for a visa – .Please note that, in the event of applications being received from candidates on the University’s Redeployment Register with a reasonable skills match to the post specification, these applicants will be given prior consideration.
United Kingdom
Sun, 14 Jul 2024 05:47:21 GMT
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