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
United Kingdom
University
Heriot-Watt University

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Where to contact
Official Email
Keywords
About this position
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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How do Pakistani students apply for this?
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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
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