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The Future of Work and Employment: AI impact on remote working and staff mental well-being


   Teesside University Business School

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  Dr X Zhu  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Automation has replaced many low skilled and unskilled jobs previously undertaken by people. Repetitive jobs such as factory production workers and supermarket checkout cashiers are particularly amenable to automation. Recent advances in Artificial Intelligence (AI) have led to predictions that automation could replace up to 40% of current jobs in the next 15 years. However, there is concern for the increased use of AI effect on staff mental well-being at workplace, in creating an environment to promote a state of contentment which allows an employee to flourish and achieve their full potential for the benefit of themselves and their organisation. In an AI and technology increased society, staff mental well-being is often being neglected as a result of less face-to-face interaction and arguably less sense of community.

The research will be focusing on qualitative methods. The aim of this project is to explore the impact of technological displacement on the workplace and different working mode (e.g. remote working), and its associate impact on the staff mental well-being. It will examine how society and future of work can proactively plan for the employees and workforce to facilitate this transformation.

Entry Requirements

Applicants should hold or expect to obtain a good honours degree (2:1 or above) in a relevant discipline. A masters level qualification in a relevant discipline is desirable, but not essential, as well as a demonstrable understanding of the research area. Further details of the expected background may appear in the specific project details. International students will be subject to the standard entry criteria relating to English language ability, ATAS clearance and, when relevant, UK visa requirements and procedures.

How to Apply

Applicants should apply online for this opportunity at:

https://e-vision.tees.ac.uk/si_prod/userdocs/web/apply.html?CourseID=1191

Please use the Online Application (Funded PHD) application form. When asked to specify funding select “other” and enter ‘RDS’ and the title of the PhD project that you are applying for. You should ensure that you clearly indicate that you are applying for a Funded Studentship and the title of the topic or project on the proposal that you will need to upload when applying. If you would like to apply for more than one project, you will need to complete a further application form and specify the relevant title for each application to a topic or project.

Applications for studentships that do not clearly indicate that the application is for a Funded Studentship and state the title of the project applied for on the proposal may mean that your application may not be considered for the appropriate funding.

For academic enquiries, please contact Dr Xiaoxian Zhu, [Email Address Removed]

For administrative enquiries before or when making your application, contact [Email Address Removed]

After an application has been made, please contact [Email Address Removed].

The online application portal and all document templates required for an application can be accessed at:

https://www.tees.ac.uk/sections/research/students_prospective_c.cfm


Funding Notes

The Fees-Paid PhD studentship will cover all tuition fees for the period of a full-time PhD Registration of up to four years. Successful applicants who are eligible will be able to access the UK Doctoral Loan scheme https://www.gov.uk/doctoral-loan to support with living costs. Applicants who are employed and their employer is interested in funding a PhD, can apply for a Collaborative Studentship. More details here. Applications are welcome from strong UK, EU and International students.
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