Academic Level A
Full-time, 100% FTE Fixed-term position through to 31 December 2025
Applications close Wednesday 30th November 2022 at 11:00 PM AEST
UQ Careers Ref: R-04812
Leverage your data science skills and develop your career in an exciting new program focused on reducing global warming.
The ARC Centre of Excellence in Synthetic Biology is looking for a postdoctoral research fellow to join our program in modelling microbial capture of greenhouse gasses (carbon dioxide, carbon monoxide and methane). You will be part of a multinational team involving data scientists, engineers and biologist from academia and industry exploring the potential of various microbes and ways to engineer superior microbes and bioprocesses.
The focus of the data science team is the development of
An advanced knowledgebase – the C1 Global Metabolic Atlas – that captures existing and emerging knowledge of microbial C1 metabolism (genomes, networks, thermokinetics), and
A variety of data and mechanistic modelling frameworks used to explore large experimental data sets and to guide design of superior microbes and bioprocesses.
As a postdoctoral research fellow, you will contribute within your field of expertise to the overall progress of program, while working closely with colleagues at UQ and collaborating teams in Denmark and USA.
Key responsibilities include:
Produce quality research outputs consistent with discipline norms by publishing or presenting in high quality outlets.
Work with colleagues in the development of joint research projects and applications for competitive research funding support.
Contribute to progressing towards transfer of knowledge, technology and practices to research end users through translation, including commercialisation of UQ intellectual property.
Develop a coherent research program and an emerging research profile.
Review and draw upon best practice research methodologies.
2. Supervision and Researcher Development
Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate).
Demonstrates personal effectiveness in supervision and the management of researcher development.
Effective lead and develop supervisee performance and conduct by providing feedback, coaching, and professional development.
As appropriate, manage research support staff effectively throughout the employee lifecycle in accordance with University policy and procedures.
Working to promptly resolve conflict and grievances when they arise in accordance with University policy and procedures.
3. Citizenship and Service
Demonstrate citizenship behaviours that align to the UQ values.
Shows leadership of self through collaboration and active participation in priority activities for the unit
Provide support to other academic positions and unit operations as needed during other team members absences.
Contribute to internal service roles and administrative processes as required, including participation in decision-making and service on relevant committees.
Collaborate in service activities external to the immediate organisation unit.
Begin to develop external links and partnerships by cultivating relationships with industry, government departments, professional bodies and the wider community.
Completion or near completion of a PhD in the data science. Experience with graph data science, computational biology and/or Computational Bayesian Modelling is a plus.
An emerging research profile in data science.
Evidence of publications in reputed refereed journals and presenting at conferences.
Evidence of successful collaboration with other data scientists and non- specialists.
This is a Full-time, 100% FTE Fixed-term position through to 31 December 2025 at Academic Level A.
The full-time equivalent base salary will be in the range $72,144.35 - $96,530.67 plus super of up to 17%. The total FTE package will be in the range $84,408.89 - 112,940.88 per annum.
The following flexible employment options may be available for this role some working from home and variable start or finish times.
For further information about UQ's benefits, please visit Why Work at UQ and review The University of Queensland's Enterprise Bargaining Agreement 2018-2021.Questions?
To discuss this role please contact Professor Lars Nielsen, firstname.lastname@example.org .
For application queries, please contact email@example.com stating the job reference number in the subject line.Want to Apply?
All applicants must supply the following documents:
Cover letter addressing Selection Criteria
To satisfy pre-requisite questions and ensure your application can be considered in full, all candidates must apply via the UQ Careers portal by the job closing deadline. Applications received via other channels, including direct email, will not be accepted.About The Selection Process
As part of the Selection Process, applicants shortlisted for interview will be required to present their research to the selection committee.
The University of Queensland is committed to ensuring all candidates are provided with the opportunity to attend the panel interviews, however, for those candidates who are unable to attend in person, video interview options will be available.Other Information
Work Rights: Y ou must have unrestricted work rights in Australia for the duration of this appointment to apply. Visa sponsorship is not available for this appointment.
At UQ we know that our greatest strengths come from our diverse mix of colleagues, this is reflected in our ongoing commitment to creating an environment focused on equity, diversity and inclusion. We ensure that we are always attracting, retaining and promoting colleagues who are representative of the diversity in our broader community, whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Accessibility requirements and/or adjustments can be directed to firstname.lastname@example.org.
If you are a current employee of the University, or hold an unpaid or affiliate appointment with the University, please login to your staff Workday account and visit the internal careers board to apply for this opportunity. Please do NOT apply via the external job board.