AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials Scholarship – Eligibility, Benefits & How to Apply

🌟 About the Scholarship

Opens
Closes30 Jun, 2026

The AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials Scholarship is a fully funded PhD research opportunity offered by the University of Southampton in the United Kingdom. The scholarship provides full tuition fee coverage and a tax-free stipend at the UKRI rate for up to 3.5 years. In addition, students receive professional development training through the University of Southampton’s Doctoral College. This training includes scientific writing, communication skills, teaching experience, and research collaboration opportunities. Furthermore, the program encourages interdisciplinary exposure and international research engagement, which strengthens academic and industrial career prospects.

🎓 Scholarship Snapshot

Here’s everything you need at a glance: the documents to prepare, what the award covers, and key dates so you don’t miss a beat. From transcripts and essays to tuition and living support, this gives you a clear picture of the AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials Scholarship before you apply.

Eligible Countries

Afghanistan, Albania, Algeria, Andorra, Angola, Antigua and Barbuda, Argentina, Armenia, Aruba, Australia, Austria, Azerbaijan, Bahamas, Bahrain, Bangladesh, Barbados, Belarus, Belgium, Benin, Bhutan, Bolivia, Bosnia-Herzegovina, Botswana, Brazil, Brunei Darussalam, Bulgaria, Burkina Faso, Burundi, Cabo Verde, Cambodia, Cameroon, Canada, Cape Verde, Central African Republic, Chad, Chile, China, Colombia, Comoros, Costa Rica, Côte d’Ivoire, Croatia, Cuba, Cyprus, Czech Republic, Democratic Republic of the Congo, Denmark, Djibouti, Dominica, Dominican Republic, East Timor, Ecuador, Egypt, El Salvador, Equatorial Guinea, Eritrea, Estonia, Eswatini, Ethiopia, Fiji, Finland, France, Gabon, Gambia, Georgia, Germany, Ghana, Greece, Greenland, Grenada, Guam, Guatemala, Guinea, Guinea Bissau, Guyana, Haiti, Honduras, Hong Kong, Hungary, Iceland, India, Indonesia, Iran, Iraq, Ireland, Israel, Italy, Jamaica, Japan, Jordan, Kazakhstan, Kenya, Kiribati, Kosovo, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Laos, Latvia, Lebanon, Lesotho, Liberia, Libya, Liechtenstein, Lithuania, Luxembourg, Madagascar, Malawi, Malaysia, Maldives, Mali, Malta, Marshall Islands, Mauritania, Mauritius, Mexico, Micronesia, Moldova, Monaco, Mongolia, Montenegro, Morocco, Mozambique, Myanmar, Namibia, Nauru, Nepal, Netherlands, New Zealand, Nicaragua, Niger, Nigeria, Niue, North Korea, North Macedonia, Norway, Oman, Pakistan, Palau, Palestine, Panama, Papua New Guinea, Paraguay, Peru, Philippines, Poland, Portugal, Puerto Rico, Qatar, Romania, Russia, Rwanda, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines, Samoa, San Marino, Sao Tome and Principe, Saudi Arabia, Scotland, Seirra Leone, Senegal, Serbia, Seychelles, Sierra Leone, Singapore, Slovakia, Slovenia, Solomon Islands, Somalia, South Korea, South Sudan, South-Africa, Spain, Sri Lanka, Sudan, Suriname, Swaziland, Sweden, Switzerland, Syrian Arab Republic, Taiwan, Tajikistan, Tanzania, Thailand, Timor-Leste, Togo, Tokelau, Trinidad-Tobago, Tunisia, Turkey, Tuvalu, Uganda, Ukraine, United Arab Emirates, United Kingdom, United States, Uruguay, Uzbekistan, Vanuatu, Vatican City, Venezuela, Vietnam, Wales, Yemen, Zambia, Zimbabwe

Study Fields

Engineering, Materials Science

GPA / Grade

GPA 3.3

Languages

DuoLingo English Test 120, ELLT 7, IELTS 6.5, PTE A 67, TOEFL iBT 92

Tests

Study Levels

Doctoral, PhD

Total Scholarships

Transcripts

Yes

Degrees

Yes

Essay

Yes

Passport ID

Recommendation Letters

Yes (2)

Result Date

Program Start

September 2026

Tuition Fee

Covered

Living Allowance

Yes

£20,780/Year

Travel Allowance

Research Grant

Health Insurance

Visa Assistance

📞 Contact Information

Call if you want a quick answer, send an email for detailed questions, or follow the university’s social channels to keep an eye on updates and reminders. Use whatever fits your style and timezone.

Scholarship Summary

Award Amount£20,780/Year
Deadline30 Jun, 2026
LevelDoctoral, PhD
InstitutionUniversity of Southampton
CountryUnited Kingdom
ModeOnline
TypeFully funded

Apply Now

The AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials Scholarship is a fully funded PhD research opportunity offered by the University of Southampton in the United Kingdom. The project focuses on developing advanced construction materials for future lunar and Martian habitats using locally available lunar regolith. In particular, the research combines materials science, mechanics, additive manufacturing, and artificial intelligence to create sustainable solutions for extraterrestrial infrastructure.

Background and Purpose

The project investigates the microstructural evolution and mechanical behavior of laser-sintered lunar regolith. Researchers examine how glass formation, pore topology, and melt structures influence material strength and stiffness. Moreover, the study uses advanced microscopy, nano- and micro-mechanical testing, and graph neural network (GNN) modeling to develop predictive AI-driven frameworks. As a result, the project aims to design reliable regolith-based metamaterials that can support long-term space construction and exploration missions.

AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials Scholarship Benefits

The scholarship provides full tuition fee coverage and a tax-free stipend at the UKRI rate for up to 3.5 years. In addition, students receive professional development training through the University of Southampton’s Doctoral College. This training includes scientific writing, communication skills, teaching experience, and research collaboration opportunities. Furthermore, the program encourages interdisciplinary exposure and international research engagement, which strengthens academic and industrial career prospects.

Eligibility Criteria

The opportunity is open to UK and eligible international applicants with strong academic backgrounds in mechanical engineering, civil engineering, materials engineering, or related disciplines. Applicants should also demonstrate interest in additive manufacturing, computational modeling, and materials characterization. Moreover, candidates with experience in machine learning techniques and AI-based modeling are especially encouraged to apply.

AI-Driven Solar-Laser Hybrid Sintering for Lunar Regolith Metamaterials Scholarship Application Process

Applicants must submit an online application through the University of Southampton’s postgraduate research portal. They are required to provide academic transcripts, a CV, and supporting documents that demonstrate research capability. Additionally, shortlisted candidates may be invited for interview discussions focused on technical expertise, academic background, and research motivation.

Opportunities for Scholars

This PhD offers strong opportunities for scholars interested in space construction and advanced materials research. Students will gain expertise in laser sintering, regolith-based material design, and AI-driven predictive modeling. In addition, the project provides access to cutting-edge laboratory facilities and interdisciplinary collaboration across engineering and computer science. Consequently, graduates will be well-positioned for careers in academia, aerospace research, advanced manufacturing, and space exploration technologies.

Frequently Asked Questions (FAQs)

What is the main aim of this PhD project?

The project aims to understand how laser-sintered lunar regolith behaves at microstructural level and use AI models (including graph neural networks) to predict and design its mechanical strength and durability.

What methods and tools are used in this PhD?

The research combines advanced microscopy, nano- and micro-mechanical testing, X-ray CT, SEM analysis, and AI-based modelling using graph neural networks.

What skills will the PhD student develop?

Students will gain expertise in materials science, experimental mechanics, microscopy, and AI-driven materials design, along with training in advanced data analysis and research methods.