Research Assistant in Wireless Sensor Systems and Machine Learning (FM11891)

Job title:

Research Assistant in Wireless Sensor Systems and Machine Learning (FM11891)

Company

University of Bath

Job description

Job title Research Assistant in Wireless Sensor Systems and Machine LearningDepartment Mechanical EngineeringSalary Starting from £29,605, rising to £36,024Grade Grade 6Contract Type Full Time, Fixed TermPlaced on Wednesday 10 July 2024Closing date Wednesday 24 July 2024Interview date To be confirmedReference FM11891Applicant Visa Guidance ShareResearch Assistant in Wireless Sensor Systems and Machine LearningAbout the roleWe are seeking an outstanding Research Assistant to join the Sustainable and Intelligent Manufacturing team at the Department of Mechanical Engineering. You will join a diverse team of researchers with a focus on sustainability, advanced machining, manufacturing system modelling, additive manufacturing and digital technologies.In this interdisciplinary project, you will work alongside researchers from three top UK Universities and collaborate with world-leading industrial partners to design and produce new methods and technologies for improving precision in machining high value products. The aim is to design sophisticated machine learning models and smart systems comprising of hardware and software for precision manufacturing. You will have access to state-of-the-art sensor systems for data collection and training machine learning models for detecting and predicting various behaviours in precision machining.This is an excellent opportunity to apply your engineering and analytical skills and gain invaluable experience in a highly innovative project in collaboration with leading UK and international industrial partners.About youWe welcome applicants with a diverse background and experiences who can show that they can add value to this project.You need to be able to demonstrate your competency in two or more of the following:

• Familiarity with machining processes
• CAD and design for 3D printing/additive manufacturing
• Data Acquisition using National Instrument DAQs and microcontrollers
• Programming in Matlab/Python
• Deep learning methods such as GANs, CNN, LSTM
• Effective verbal and written communication skills

Appropriate support and training will be provided for the successful candidate.About usYou will join a diverse team of Postdoctoral and PhD researchers at the Sustainable and Intelligent Manufacturing team within the Digital, Manufacturing and Design Centre at the Faculty of Engineering and Design. The academics in the Centre are leading in the field of Manufacturing and Digitalisation with extensive links to the industry and academia.The Department of Mechanical Engineering is dedicated to providing an inclusive and supportive environment for all to study and work in. We have a reputation for outstanding teaching, innovative research and collaborative links with industry. We have over 100 academic and research staff, 1000 undergraduate students and 200 postgraduate students. The Department holds an Athena SWAN silver award, is a leading research and teaching Department and has over 89% of staff being world-leading or internationally excellent in research.What we can offer you:

• a very generous employer contributory pension scheme
• generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
• we are a

and with an increasingly agile workforce, are open to flexible working arrangements * an
that recognises the talents of our diverse workforce * a wide range of personal and

• a number of support options available for new and existing staff to help with the cost of some immigration expenses which you may be eligible for:

, , ..We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a . We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our commitment.We are very proud to be an and are an accredited ; committed to .what makes the University of Bath a great place to work. Follow us and on Twitter for more information.Further details:We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details will be removed from application forms at the initial shortlisting stage.

Expected salary

£29605 – 36024 per year

Location

United Kingdom

Job date

Fri, 12 Jul 2024 02:11:31 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.