Postdoctoral Research Fellow

an Australian Defence Science and
Technology Group (DSTG) funded project
entitled “Optimising the Warfighter
cognobiome”. The appointees’ primary role
bioinformatic techniques and to develop and
approaches.

The research will focus on a longitudinal
investigation of military personnel under
stressed conditions to understand how the gut
microbiome influences cognitive performance.
The outcomes of the research aim to provide
a novel set of biomarkers which can be
incorporated into screening procedures for
Warfighters, as well as identifying
interventional strategies to mitigate negative
changes in aspects of cognition and well
- being.

The successful applicant will undertake
bioinformatic and statistical analysis of
shotgun metagenomic sequence data and will
build upon significant the expertise and tools
available at CMR (e.g.
whist working in concert with other
bioinformatics-focused post-doctoral fellows
and students. It is anticipated that the project
will facilitate the creation of computational
software to predict key microbes responsible
for cognitive performance, mental well-being
and digestive health, and result in high-impact
publications.

This position reports to Prof Gene Tyson for
supervision, workload management and for
Performance Planning and Review (PPR).

**Key responsibilities include**:
approaches developed in the Centre.

unsupervised statistical approaches to
elucidate novel associations.
- Assisting with supervision of research

students within the Centre.
- Establishing and maintaining effective

collaboration with other researchers.
- Preparing and publishing research

outcomes in relevant referred international
journals and present research outcomes at
seminars and conferences.
- Maintaining complete and accurate manual

and electronic research records.
- Conducting periodic literature searches,

reviews and retrieval of information.
- Contributing to regular laboratory

meetings.
- Implementing and administering University

policy within the Faculty with respect to
equitable access to education and
workplace health and safety.
- Complying with health and safety policies,

procedures, hazard reporting and safe
work practices.
- Implementing and administering University

policy within the Faculty with respect to
equitable access to education and
workplace health and safety.

To ensure job flexibility the successful
- appointee may be required to:
- perform any other duties as nominated by

the University consistent with the relevant
classification descriptors detailed in the
Enterprise Agreement. Staff undertaking
any new duties will receive training;
- participate in job rotation or multiskilling in

consultation with their supervisor;
- work across campuses

To be appointed as a Postdoctoral Research
Fellow - Bioinformatics/Machine Learning the
successful applicant must meet the position
classification standards outlined in the QUT
Enterprise Agreement (Academic Staff).

**Type of appointment**
This appointment will be offered on a fixed
- term, full-time basis for twelve (12) months.

**Location**
Centre for Microbiome Research, Translational
Research Institute (TRI), Woolloongabba,
Brisbane

Selection Criteria
1. Education, training and/or relevant

experience equivalent to the completion of
postgraduate qualifications, or progress
towards postgraduate qualifications in
bioinformatics, computer science,
phylogenetics, or microbial genomics.

2. Extensive experience with designing,
implementing and evaluating** **machine
learning approaches (e.g. Torch or
TensorFlow), particularly in relation to the
analysis of next-generation sequencing

data. Experience with analysis of flow
cytometry data is additionally desirable.

3. Comprehensive knowledge and
demonstrated experience in the
processing, analysis and interpretation of
multi-omic datasets.

4. Strong familiarity with the concepts
surrounding microbial genetics, particularly
in relation to the human gut microbiome.

5. Strong, demonstrated ability to program
and experience using UNIX-based high
- performance computing systems.
Experience setting-up and operating cloud
- based computing platforms is highly
desirable.

6. Demonstrated ability to work
collaboratively within a multi-disciplinary
team, along with proven ability to
autonomously organise and prioritise tasks
and workflows to meet project deadlines.

7. High level communication skills, including
clear and effective verbal communication,
demonstrated written communication skills
and strong interpersonal skills.

**Remuneration and Benefits**
- The classification for this position is Academic
- Level A (LEVA) which has an annual
- remuneration range of $AUD83,894 to
- $AUD113,836 pa. Which is inclusive of an
- annual salary range of $AUD70,891 to
- $AUD96,193 pa, 17% superannuation and
- leave loading.
- We actively seek to attract and retain the best
- talent to the organisation, and in exceptional- be granted a salary loading in addition to the
- above salary rang