The Research Assistant will be a key member of the Centre's interdisciplinary team, collaborating with research teams and experts across the various university nodes and industry partners to carry out independent and/or team research in the following areas: carbon assessment and management of infrastructures, structural engineering, structural design, structural reliability methods and circular economy of built environment, and applications of artificial intelligence (AI) for data mining, processing, and modelling.
Requirements
- PhD in civil/mechanical/engineering or applied mathematics with research area related to theory or methods of reliability or stochastic processes.
- Emerging track record and recognition for quality research outputs which will contribute to the research priorities of the Centre and the School of Engineering evidenced by publications, development of new research initiatives, competitive research funding, and industry links.
- Demonstrated ability to supervise higher degree by research candidates.
- Ability to build effective networks with colleagues and generate alternative funding projects through effective liaison with industry and government.
- Excellent interpersonal and communications skills appropriate for interacting with higher degreeby research candidates, staff, and industry, together with a strong commitment to teamwork and multidisciplinary collaboration.
- Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required.
- Excellent communication skills with proven ability to produce clear, succinct reports and documents.
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance