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Research Associate - Senior Research Associate - Climate
ConfidentialMumbai, India6 days ago
Job descriptionLevel A – ($113k - $121k) - Level B – ($127k - $150k) plus 17% Superannuation and annual leave loading Fixed Term – 3 years Full-time (35 hours per week) Contribute strongly to the technical development of an artificial intelligence-based foundation model toolbox, including appropriate data wrangling, code development, evaluation and application. Engage in collaborative research with the existing team, leading key components at an internationally competitive level. Lead and contribute to significant international publications. Establish a personal research portfolio, within the limits of the project; the appointee will be supported to develop independent research proposals under the guidance of senior colleagues. Support PhD students working on the project, under the mentorship of senior colleagues. Be willing to travel, to Canberra, to contribute to an annual workshop Align with and actively demonstrate the Code of Conduct and Values Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others. Lead the technical development of an artificial intelligence-based foundation model tool-box, including appropriate data wrangling, code development, evaluation and application. Co-lead the intellectual evolution of the Foundation Model by establishing strong international links with appropriate groups. Mentor and guide PhD students working on the project, supported by senior colleagues. A PhD in a related discipline, most likely Mathematics, Computer Science, Engineering, Data Science. This may include weather or climate science if technical skills are very well developed. Key skills likely to be required include advanced Python or c++ with experience in developing and fine-tuning foundation models for modelling tasks, including use of HPC systems and multi-GPU programming. Knowledge of state-of-the-art AI models and architectures, ideally (but not essential) applied to weather and climate, and a track record of collaborative coding and code sharing (e.g. GitHub). Proven commitment to proactively keeping up to date with discipline knowledge and developments. A track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership. High level communication skills and ability to network effectively and interact with a diverse range of students and staff. Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships. Evidence of highly developed interpersonal and organisational skills. An understanding of and commitment to UNSW's aims, objectives and values in action, together with relevant policies and guidelines. Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training. Likely several years of relevant experience post the completion of a PhD. This could include experience in research, or in industry. Experience of Foundation models, including their development and / or evaluation. Evidence of the capacity to drive knowledge development in Foundation models. Evidence of leadership capacity, or strong evidence that this can be developed
This Job is based in Australia
- One of Australia's leading research & teaching universities
- Vibrant campus life with a strong sense of community & inclusion
- Enjoy a career that makes a difference by collaborating & learning from the best
At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.
THIS ROLE IS LOCATED IN SYDNEY, AUSTRALIA.
The Research Associate / Senior Research Associate (Level A / B) position is available to take a leading role in developing an artificial intelligence-based foundation model tool-box that utilizes a wide range of historical, global and regional weather and climate data. A general purpose tool-box, initially tested on climate risks to agriculture across the Asia-Pacific region will be developed with opportunities to explore other types of impacts associated with climate change.
The successful applicant will join a team including Professors Andy Pitman and Scott Sisson, along with Dr Anna Ukkola, Elizabeth Vogel, Sanaa Hobeichi and Doug Richardson.
About The Role
The role reports to Professor Andy Pitman and has no direct reports.
Specific Responsibilities For This Role Include
LEVEL A
LEVEL B
(in addition to the above)
About The Successful Applicant
(Selection Criteria)
Level a
LEVEL B
(in addition to the above)
You should systematically address the selection criteria listed within the position description in your application.
Please apply online - applications will not be accepted if sent to the contact listed.
Contact : Andy Pitman
E : [HIDDEN TEXT]
Applications close : October 8th, 2025
Find Out More About Working At UNSW At Www.unsw.edu.au
UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
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Skills Required
Github, Python
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Research Associate • Mumbai, India
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