Part-time Senior Research Associate for the ‘Up-Skill’ Project – 1113-22

View All Vacancies School of Engineering
Salary:

£36,386 to £42,155

Closing Date:  

Tuesday 18 October 2022

Interview Date:  

To be confirmed

Reference:  

1113-22

We wish to appoint a talented researcher to undertake advanced research in the field of AI and machine learning, part of the collaborative project “UP-SKILLING FOR INDUSTRY 5.0 ROLL-OUT (Up-Skill)” with multiple industrial and academic partners funded by Horizon Europe. This is a 36-month part-time appointment at 0.40 FTE.

The Up-Skill project aims not only to identify the key features of the topology that defines human-machine relations in industry 5.0 but will define the managerial competencies needed to succeed in this space. The project will link varied firm strategic contexts, technology implementation and detailed workplace ethnographies in a single research project. It addresses primarily the workforce implications of industry 5.0 and in particular the relationship between automation choices and maintenance of skilled work.

Lancaster University as one partner of the entire project, will focus on Supporting ethnographic study with researchers based at end user organisations. Also Lancaster University will develop and apply artificial intelligence and machine learning across the use cases. Your required tasks include but not limited to: 

Review Industry 5.0 enabling technologies and write literature review or report as requited

Develop Decision Support System (DSS) using advanced data processing algorithms (AI techniques)

Assist partners in developing AI related algorithms for difference work packages

Participation in Up-Skill project meetings; preparation and presentation of talks, posters and reports to disseminate the results of these studies.

Preparation of progress reports for Up-Skill describing the results of the project.

Participation in national and international conferences and workshops to present the results of the project to a wider audience and to learn about current advances in the field.

Preparation of journal papers for publication of project findings.

Participation in (and ultimately taking the lead in) writing new research proposals that build on the expertise developed in this project.

The School of Engineering at Lancaster University has excellent research laboratories and associated research facilities. To support the experimental results and modelling requirements of this technology development project, the department also has available a comprehensive range of software tools, in addition to central computing services support. 

You must hold a MSc or PhD in a relevant discipline, and related academic or industrial experience at post-doctoral or commensurate level is highly desirable; excellent team-working and communication skills are also required. 

The position is available to engineers / data scientists with experience of implementing data analytics in a manufacturing environment.

You will join us on an indefinite contract however, the role remains contingent on external funding which, at this time is until 31/08/2025.

Lancaster University is campus-based, and located close to the Lake district in the north-west of England; the University also enjoys excellent public transport and national rail links. Lancaster is just one hour from international airports at Manchester, Liverpool and Leeds. The town and the region are home to a variety of excellent schools and enjoy excellent public transport and national rail links. A wide selection of facilities is available on campus including a large variety of social facilities, eateries, a new sports centre, and a highly regarded pre-school centre.

We welcome applications from people in all diversity groups; we are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research.

Informal enquiries can be made to: Prof Darren Williams, email: darren.williams@twi.co.uk or Dr Min Xia E-mail: m.xia3@lancaster.ac.uk 

Further details:

We promote equality of opportunity and diversity within the workplace and welcome applications from all sections of the community.

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