Centre for Health Economics - Monash Business School
PhD Opportunity on Generative-AI driven Requirements Regulation in Space Mission
Centre for Health Economics - Monash Business School, Yankeetown, Wisconsin, United States
PhD Opportunity on Generative-AI driven Requirements Regulation in Space Missions
Centre for Health Economics - Monash Business School
Job No.:
687090 Location:
Clayton campus Employment Type:
Full-time Duration:
Scholarship up to 3.5 years (full‑time) for Research Doctorate (PhD)
Remuneration:
Faculty of Information Technology Research Stipend Scholarship (living allowance), $37,145 AUD per annum
Faculty of Information Technology International Postgraduate Research Scholarship (tuition fees), includes Overseas Student Health Cover (Single) for international student
FIT Candidature Funding of $4,000 for the duration of the candidature
Up to $1,265 from Monash Graduate Research Office as a one‑off travel grant
Opportunity:
This is an exceptional opportunity for a PhD candidate to shape the future of space‑mission design through AI. The project focuses on building and evaluating a generative‑AI requirements regulatory compliance solution that translates complex mission briefs and regulations into rigorous, traceable, regulator‑ready requirements. The candidate will work within an interdisciplinary community at Monash University spanning computing, systems engineering and socio‑technical research, and will engage with government and industry stakeholders under confidentiality arrangements. You will contribute to open, reproducible methods and public guidance for responsible AI in high‑assurance settings, particularly in the space domain.
Minimum Academic Requirements (Monash HDR):
Bachelor’s degree of at least four years in a relevant discipline, which includes a research thesis or project, with a minimum overall average grade equivalent to a first‑class honours degree; or
Master’s degree in a relevant discipline which includes a research thesis or project equivalent to at least 25 % of one year of full‑time study, with a minimum overall average equivalent to a first‑class honours degree.
Eligibility for this position:
Undergraduate or postgraduate qualification in applied AI, computer science, software/systems engineering, or data science.
Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model‑based systems engineering, safety‑critical domains, space/satellite domain, and quantitative research will be viewed favourably.
Project Responsibilities:
Characterise current practice and pain points in space RE across concept, design, and authorisation phases, including regulatory traceability and change impact.
Develop AI‑assisted RE methods (e.g., retrieval‑augmented drafting, model/standard linkage, explainable traceability) that improve quality and reduce rework.
Advance theory and methodology for RE in safety‑critical, highly regulated domains, integrating qualitative insights with empirical software engineering.
Deliver public resources—evaluation protocols, red‑team checklists, and guidance for responsible, auditable AI use in mission design.
Benefits:
New knowledge about RE in the space sector, validated techniques to improve traceability and impact analysis, practical guidance for procurement, assurance, and regulation. Enhanced efficiency in early design, stronger compliance pathways, and improved accountability for AI‑supported engineering.
Two‑stage selection process:
Submit an Expression of Interest (EOI) using the Faculty of Information Technology Research Project Enquiry form: https://supervisorconnect.it.monash.edu/enquire. Include CV, academic transcripts, cover letter outlining experience, and a draft research proposal (max two pages) addressing the research objectives outlined above.
Successful candidates will be invited to discuss their ideas with Dr Chetan Arora before preparing a full application.
Contact:
Dr Chetan Arora, chetan.arora@monash.edu
Applications Close:
Sunday 31 January 2026, 11:55pm AEDT
Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter.
#J-18808-Ljbffr
Job No.:
687090 Location:
Clayton campus Employment Type:
Full-time Duration:
Scholarship up to 3.5 years (full‑time) for Research Doctorate (PhD)
Remuneration:
Faculty of Information Technology Research Stipend Scholarship (living allowance), $37,145 AUD per annum
Faculty of Information Technology International Postgraduate Research Scholarship (tuition fees), includes Overseas Student Health Cover (Single) for international student
FIT Candidature Funding of $4,000 for the duration of the candidature
Up to $1,265 from Monash Graduate Research Office as a one‑off travel grant
Opportunity:
This is an exceptional opportunity for a PhD candidate to shape the future of space‑mission design through AI. The project focuses on building and evaluating a generative‑AI requirements regulatory compliance solution that translates complex mission briefs and regulations into rigorous, traceable, regulator‑ready requirements. The candidate will work within an interdisciplinary community at Monash University spanning computing, systems engineering and socio‑technical research, and will engage with government and industry stakeholders under confidentiality arrangements. You will contribute to open, reproducible methods and public guidance for responsible AI in high‑assurance settings, particularly in the space domain.
Minimum Academic Requirements (Monash HDR):
Bachelor’s degree of at least four years in a relevant discipline, which includes a research thesis or project, with a minimum overall average grade equivalent to a first‑class honours degree; or
Master’s degree in a relevant discipline which includes a research thesis or project equivalent to at least 25 % of one year of full‑time study, with a minimum overall average equivalent to a first‑class honours degree.
Eligibility for this position:
Undergraduate or postgraduate qualification in applied AI, computer science, software/systems engineering, or data science.
Experience with NLP/LLMs and/or requirements engineering is highly desirable; familiarity with model‑based systems engineering, safety‑critical domains, space/satellite domain, and quantitative research will be viewed favourably.
Project Responsibilities:
Characterise current practice and pain points in space RE across concept, design, and authorisation phases, including regulatory traceability and change impact.
Develop AI‑assisted RE methods (e.g., retrieval‑augmented drafting, model/standard linkage, explainable traceability) that improve quality and reduce rework.
Advance theory and methodology for RE in safety‑critical, highly regulated domains, integrating qualitative insights with empirical software engineering.
Deliver public resources—evaluation protocols, red‑team checklists, and guidance for responsible, auditable AI use in mission design.
Benefits:
New knowledge about RE in the space sector, validated techniques to improve traceability and impact analysis, practical guidance for procurement, assurance, and regulation. Enhanced efficiency in early design, stronger compliance pathways, and improved accountability for AI‑supported engineering.
Two‑stage selection process:
Submit an Expression of Interest (EOI) using the Faculty of Information Technology Research Project Enquiry form: https://supervisorconnect.it.monash.edu/enquire. Include CV, academic transcripts, cover letter outlining experience, and a draft research proposal (max two pages) addressing the research objectives outlined above.
Successful candidates will be invited to discuss their ideas with Dr Chetan Arora before preparing a full application.
Contact:
Dr Chetan Arora, chetan.arora@monash.edu
Applications Close:
Sunday 31 January 2026, 11:55pm AEDT
Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter.
#J-18808-Ljbffr