Research Associate/Senior Research Associate in TimeSeries
Listed on 2026-01-24
-
Research/Development
Research Scientist, Data Scientist, Biomedical Science, Research Assistant/Associate
The Opportunity
The School of Computer Science and Engineering is offering an opportunity for a Research Associate / Senior Research Associate
. In this role, you will be working on developing LLMs for time‑series reasoning. Your research will focus on the project involving LLMs/VLMs for time‑series analysis, classification, and root‑cause analysis. This position offers the opportunity to advance your scholarly research and professional activities on both national and international levels. You will contribute to the writing of scientific papers and reports for international journals, participate in conferences and workshops, supervise HDR students, and actively collaborate with industry partners.
This role reports to Professor Flora Salim and has no direct reports.
- Salary:
- Research Associate (Level
A) – AUD $113,911 to $121,838 per annum + 17% superannuation - Senior Research Associate (Level B, Step
1) – AUD $127,947 per annum + 17% superannuation
- Research Associate (Level
- Full time
- Fixed‑term contract – ASAP start until March 2027
- Location:
Kensington – Sydney, Australia - Due to project timelines, candidates must have working rights for Australia
UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.
The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning.
For more information on our school go to the following link – https://(Use the "Apply for this Job" box below).-engineering
A)
- A PhD (or soon to be awarded) in a related discipline, and/or relevant work experience.
- Demonstrated track record in research, evidenced by publications in top‑tier AI and ML conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, 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.
- Strong experience in time‑series analysis and LLMs/VLMs post‑tuning and reasoning.
- Experience in time‑series causal modelling is preferable although not mandatory.
- Experience in developing comprehensive benchmarks.
- Robust coding and software engineering skills.
- A strong practice of maintaining open‑source code repository.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal 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.
B)
- A PhD in a related discipline, and/or relevant 1–2‑year work experience post PhD.
- Demonstrated track record in research, evidenced by publications in top‑tier AI and ML conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, 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.
- Strong experience in time‑series analysis and LLMs/VLMs post‑tuning and reasoning.
- Experience in time‑series causal modelling is preferable although not mandatory.
- Experience in developing comprehensive benchmarks.
- Robust coding and software engineering skills.
- Experience in handling multimodal data, especially time‑series and text, is required.
- Proven commitment to proactively keeping up to…
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