Research Fellow/associate Research Fellow

**ABOUT**

Our client is a university with a global impact. They are agile and innovative, and committed to making a positive impact through our excellence in education and research and the contributions we make to the wider community.

Their reputation has been built on the dedication and expertise of their staff. Offering dynamic, diverse and inclusive working environment with opportunities to grow and develop careers. They believe that a progressive, thriving culture will ensure people choose to come, and stay and contribute to their ongoing success.

As one of Australia’s largest universities, they have strong global linkages, world-class research and an education portfolio that blends the best of campus and digital delivery into a highly supportive and personalised student experience.

**PRIMARY RESPONSIBILITIES**

The Associate Research & Research Fellow will initiate and conduct research in any area with a background in mathematics/statistics, engineering or software development including Engineering, Computer Science, Mathematics. In addition:

- Conduct high-quality research, scholarship and creative activities generating high impact outputs, with mentorship
- Engage collaboratively to participate in novel and high-quality research or creative activities
- Communicate outputs, including as part of team
- Ensure impact of academic activity on the field and the community
- Begin building body of work and reputation and recognition for quality, excellence and impact
- Participate in intra
- and inter-disciplinary research collaborations
- Build awareness of industry partners and participates in opportunities for research partnerships
- Begin to build track record of timely delivery of outcomes for industry partners
- Co-supervise honours to timely outcomes with productive high-quality outcomes
- Develop working relationship with mentors and supervisors
- Develop early career research plan with guidance from mentors and supervisors
- Adopt culture of research excellence, innovation and impact
- Build awareness of relevant industry partners and opportunities for HDRs/ECRs placements

Qualifications and experience
- PhD in a relevant discipline and/or other relevant qualifications and experience
- Emerging research and scholarship through publications, and/or exhibitions as appropriate to the discipline
- Ability to make a contribution to communities through research
- Capacity to contribute to teaching, research and administration
- Excellent interpersonal skills and a proven ability to establish good working relationships with colleagues
- Understand of at least one of the following research areas; Natural Language Processing, Computer Vision, Signal Processing, Machine Learning, Software Engineering (Machine Learning).
- Design, development and implementation of ML algorithms.

Capabilities
- Digital Literacy: Interprets and distils information; produces clear communications through a variety of digital platforms
- Collaboration: Proactively supports working together, shares ideas and provides constructive feedback; respects and values others
- Emotional Intelligence: Recognises emotions in self and others; uses emotional cues to guide thinking and behaviour
- Building Networks and Partnerships: Identifies and invests in relationships essential for growth and positive outcomes
- Communicating with Influence: Engages and energises others through clear and persuasive communication
- Personal Resilience: Maintains composure and focus under pressure, adapts to changing situations and recovers from setbacks
- Infrequent travel will be required describe further (e.g., interstate or overseas travel is required or regular travel within Victoria, not including between campuses)
- Possibility or obtaining a Working with Children Check