2x Research Fellow, ARC Centre of Excellence in Automated Decision-Making and Society
* Full-time, 3 year, fixed-term contract (2 positions); based at RMIT City campus in Melbourne, Australia. 
* Join a multidisciplinary research team and be involved in ARC Centre of Excellence on Automated Decision Making and Society projects focusing on measuring, modelling, and evaluating the fairness, bias, and trustworthiness of algorithms and data including in Artificial Intelligence (AI), machine learning (ML), and user models. 
* Access to state-of-art facilities and equipment of the Centre for Information Discovery and Data Analytics at RMIT University. 
* Reports directly to the Professor Mark Sanderson, ECP Director, Info & Systems (Engineering, Enabling Capability Platforms)
* Remuneration at Academic Level B ($98,495 - $116,965) + 17% superannuation

You will have:
• Solid theoretical and sound working knowledge in at least one of the following areas:
- Machine learning and deep learning
- Interactive information retrieval
- Human-computer interaction
- Recommender systems
- Multi-objective and multi-criteria optimization
- Behavioral data science
- Time-series and spatio-temporal data mining
- FATE (Fairness, Accountability, Transparency, and Ethics)

• Proven research experience in:
- The design and conduct of user studies for evaluation of the information access systems
- Maintaining and contributing to public codebase or repository
- Performing machine learning experiments using multiple large-scale datasets and public benchmarks
• Evidence of excellent track record in research and scientific investigations including publications in high quality Q1 peer reviewed journals and conference contributions as ranked by CORE in AI and machine learning, data mining, Information retrieval and/or HCI, such as ICML, NeurIPS, ICLR, AAAI, KDD, WWW, WSDM, SIGIR, IUI, IMWUT/UbiComp, CHIIR, FAccT, CHI, CSCW
• Highly developed problem-solving and analytical skills with the ability to communicate and present research findings, concepts, and knowledge in dealing with ambiguity
• Ability to manage and plan your time effectively and efficiently to conduct innovative research independently and collaboratively, work effectively to meet project outcomes and milestones as well as maintaining a high-achieving research culture
• Good interpersonal and strong communication skills (both verbal and written) appropriate for interacting with research students, staff, and external stakeholders, together with a strong commitment to teamwork and multidisciplinary collaboration

For more details, check the following link or contact us.