May 203 min read

INTERNATIONAL JOB OFFER AS A POSTGRADUATE RESEARCH FELLOW IN AUSTRALIA, WITH VISA SPONSORSHIP

We are seeking a Postdoctoral Research Fellow who specializes in metabolic modelling and ‘omics data driven characterization of cells. You will join a team of researchers to establish systems biology-based workflows to drive the data-driven bio process optimization capability of this facility, including strain design. The position is primarily computationally based and will work with a bioinformatician/data scientist to use modelling and machine-learning approaches to learn from large data sets to inform further strain engineering or bio process optimization rounds.

Whilst the role is academic in nature, as an employee of an NCRIS-funded facility, the position has a strong service focus. You will be required to analyze, interpret and report fermentation data to clients by contractual deadlines, which may include researchers and industry, whilst developing novel workflows to allow for high-throughput data analysis.

Key responsibilities will include:

Research

Develop data management pipelines and computational workflows to analyze and derive metabolic insights from small to large multi-omics datasets.
Develop metabolic models and/or performing metabolic modelling to estimate intracellular flux distributions as required.
Produce quality research outputs consistent with discipline norms by publishing or exhibiting in high quality outlets.
Participate in applications for competitive research funding to support projects and activities.
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 commercialization of UQ intellectual property.
Develop a coherent research program and an emerging research profile.
Review and draw upon best practice research methodologies.

Supervision and Researcher Development

Contribute to the effective supervision of Honors 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.

Citizenship and Service

Perform in-depth phenotypic characterization of bioreactor runs from data generated by the fermentation scientists and provides this as a report to clients.
Demonstrate citizenship behaviors that align to the UQ values.
Show 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 organization unit.
Begin to develop external links and partnerships by cultivating relationships with industry, government departments, professional bodies and the wider community.

This is a research focused position.

This role is subject to The University’s Code of Conduct.

This is a full time, fixed term position to March 2026 at Academic Level A.

The full-time equivalent base salary will be in the range $92,938.86 - $102,945.12, plus a generous super allowance of up to 17%. The total FTE package will be up to $108,738.47 - $120,445.79 annually. As this role is covered by an Enterprise Agreement, you will also receive regular remuneration increases – at least once a year.

The greater benefit of joining the UQ community are broad: from being part of a group of eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements, and genuine career progression opportunities via the academic promotions process.

About You

Completion or near completion of a PhD with demonstrated experience in genome-scale metabolic modelling
Demonstrated experience characterizing and reporting cellular phenotype from global ‘omics data sets (e.g. whole cell proteomics)
A strong understanding of metabolism and familiarity with metabolic pathways. A strong knowledge of yeast metabolism is favorable, but not required.
Demonstrated experience in utilizing or developing various tools for systems analysis of organisms
Evidence of publications in peer-reviewed journals
Well-versed in at least one programming language/environment (such as Python, MATLAB or similar)
Good organizational and problem-solving skills.
Proven ability to work collaboratively as part of a multi-disciplinary team.
Strong interpersonal and communication skills.
Agile and adaptable – able to independently identify and overcome challenges associated with analyzing ‘omics data and create bespoke solutions.