Post Doctoral Research Associate in Smart Manufacturing and AI
- Employer
- UNIVERSITY OF LINCOLN
- Location
- Lincoln, United Kingdom
- Salary
- £33,797 per annum
- Closing date
- 28 Feb 2021
View more
- Academic Discipline
- Computer Science, Engineering & Technology
- Job Type
- Academic Posts, Postdocs, Research Related, Research Associate
- Contract Type
- Fixed Term
- Hours
- Full Time
Job Details
School of Engineering
Location: Lincoln
Salary: From £33,797 per annum
These are full time posts of 1 FTE, Fixed term for 6 months from start date
Closing Date: Sunday 28 February 2021
Interview Date: Thursday 18 March 2021
Reference: COS806
The University of Lincoln is seeking to appoint multiple Postdoctoral Research Associates to join the School of Engineering and the Lincoln Centre for Autonomous Systems (LCAS). The posts will be for 6 months and funded by the Innovate UK. The project comes under the framework of “Manufacturing made smarter: digital supply chain, feasibility studies’’. The overall aim is to develop innovative AI-based technologies, to make manufacturing smarter in the future. A summary of the project is here below:
Project Description
Process and quality planning are prerequisites for producing high-quality products at competitive costs. Today ´s manufacturing relies on old-fashioned document-centric methods that are ineffective; valuable time is mostly spent on document creation and document management rather than innovation and process improvement. This project aims to optimise the process and quality planning through a model-based approach. A cloud-based data infrastructure will be developed and tested for use-cases from the Aerospace and Space systems manufacturing.
About the candidate
We are looking for enthusiastic and passionate individuals to join our research team at the School of Engineering. The post holder is expected to have completed (or be close to completing) a PhD in Computer Science, Systems Engineering or similar fields. The post holder will be required to model various processes across the supply chain and therefore, previous experience of applying deep learning techniques to model sequential data and in particular time-series is crucial. The candidates must have extensive experience with Python and in particular the TensorFlow library.
Informal enquiries about these posts can be made to Prof Mini C. Saaj (msaaj@lincoln.ac.uk) or Dr Sepehr Maleki (smaleki@lincoln.ac.uk).
Company
Since Her Majesty the Queen first opened the University of Lincoln, we’ve had some of the most satisfied students in the UK. And our quality of teaching and research has helped us achieve a growing and international reputation. However, with an ambition to become one of the country’s top institutions, we’re just at the start of our exciting journey.
With over 13,000 students spread across our three campuses of Brayford Pool Marina, Riseholme Park and Holbeach, we’re one of the Lincolnshire’s largest employers. We strive to provide each of our 1,500 plus members of staff a working environment where equality, respect and opportunity are core values. And, whether you’re an academic, researcher, senior manager or part of our professional support team, you’ll find a home of creativity and innovation.
- Mini-site
- UNIVERSITY OF LINCOLN
- Location
-
BRAYFORD POOL
LINCOLN
LINCOLNSHIRE
LN6 7TS
GB
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