Publisher
source

Abdul Wasy Zia

6 months ago

Material design, manufacturing process, energy-related applications, medical and healthcare related applications, circular economy, techno-economic analysis, LCA, Digital Twins, AI Ethics Heriot-Watt University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

The studentship covers UK/Home tuition fees, provides a stipend, and includes a research budget. Only UK/Home students are eligible. No specific stipend amount is mentioned.

Deadline

Expired

Country flag

Country

United Kingdom

University

Heriot-Watt University

Social connections

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Where to contact

Official Email

Keywords

Computer Science
Data Science
Environmental Science
Biomedical Engineering
Mechanical Engineering
Materials Science
Philosophy
Health Science
Manufacturing Engineering
Energy Engineering
Technology Ethics
Circular Economy
Healthcare Delivery
Techno-economic Analysis
Applied Ethics
Technical Engineering
Lca
Clinical Application
2d Material
Digital Twins

About this position

PhD Position for UK/Home Fee student
I aim to nominate a potential candidate for a competition-based PhD studentship open to UK/Home students only (covering UK/Home tuition fee, stipend, and research budget). If you are interested in an interdisciplinary topic bridging Engineering, Data, EDI, and Ethics, send your CV to ' [email protected] '
Example topics could be around data-driven: material design, manufacturing process, energy-related applications, medical and healthcare related applications, circular economy, techno-economic analysis, LCA, Digital Twins, AI Ethics, etc

PhD uk home student materials manufacturing ukmfg data AL ML energy medical biomedical circulareconomy LCA AiEthics

Funding details

The studentship covers UK/Home tuition fees, provides a stipend, and includes a research budget. Only UK/Home students are eligible. No specific stipend amount is mentioned.

What's required

Applicants must be UK/Home students eligible for UK/Home tuition fees. Interest in interdisciplinary research bridging engineering, data, EDI, and ethics is required. Candidates should have a strong academic background relevant to the example topics (material design, manufacturing, energy, medical/healthcare, circular economy, techno-economic analysis, LCA, Digital Twins, AI Ethics). Submission of a CV is required. No specific degree, GPA, or language requirements are mentioned.

How to apply

Send your CV to [email protected] if you are interested and meet the eligibility criteria. The position is open to UK/Home students only. Contact the supervisor for further details.

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