Job Description

• School of Languages and Cultures 

• Full-time, fixed-term position for up to 2 years

• Base salary will be in the range $113,377.67 - $127,112.24 + 17% Superannuation (HEW Level 8)

• Based at our

  View Orignal JOB on: italents.net
  St Lucia Campus

About This Opportunity 

This is a Research Software Engineering (RSE) role which involves development, documentation deployment and maintenance of research software for analytics for the Language Data Commons of Australia (LDaCA) project. The role requires advanced data transformation and coding skills in a research context and the incumbent will be working in Python, R, Javascript, SQL and other languages as required.   

Key responsibilities will include:

• Design, develop, and maintain Jupyter notebooks and analytical workflows using Python, R, and existing text and language processing libraries building on resources such as Language Technology and Data Analysis Laboratory (LADAL)

• Prepare and transform language data and develop tools and pipelines (e.g., in Python, JavaScript) to support integration, reuse, and sharing through LDaCA infrastructure in line with standards like RO-Crate.

• Deliver proof-of-concept demonstration of advanced analytics without retention of data for access-controlled data.

• Develop and refine notebooks, tools, and associated resources to showcase different methodologies HASS disciplines incorporating emerging trends in computational humanities and social science (e.g. Large Language Models (LLMs)).

• Redevelop and enhance existing notebooks, tools, and resources for data preparation, transformation and integration into existing tools such as Annis, LaBB-CAT, and CQPWeb.

• Develop custom notebooks and tools to integrate new data into LDaCA workflows and offer training and workshops to researchers.

• Contribute to the ongoing maintenance, quality assurance, and improvement of LDaCA data infrastructure in collaboration with project partners and team members.

• Mentor researchers and data management specialists in best practices for research software engineering.

• Participate in the development of standards, metadata profiles and principles and follow best practice in software version management, unit testing, continuous integration and deployment.

• Travel to workshops in Australia for face-to-face presentations and mentoring of researchers and other technical staff.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world.

Everyone here has a role to play. As a member of our professional staff cohort, you will be actively involved in working towards our vision of a better world. By supporting the academic endeavour across teaching, research, and the student life, you will have the opportunity to contribute to activities that have a lasting impact on our community.

Join a community where excellence is at the core of our culture, contributions are valued and a range of benefits and rewards are available, such as:

• Up to 26 weeks paid parental leave or 14 weeks paid primary caregiver leave

• 17% superannuation contributions

• 17.5% annual leave loading

• Access to flexible working arrangements including hybrid working options, flexible start/finish times, purchased leave, and a condensed fortnight

• Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff and their immediate family

• UQ Study for Staff

• On campus childcare options

• Affordable parking (from just $6.15 a day)

• Salary packaging options

About You

• Completion of a postgraduate qualification (IT, computer science, software engineering or related field) with subsequent experience in software development and coding, or an equivalent combination of relevant experience and/or education/training.

• Demonstrated expertise in software development using JavaScript, Python, and/or R, with a strong focus on Research Software Engineering principles. 

• Skilled in version control (Git/GitHub), configuration management, and CI/CD pipelines, applying best practices in an Agile development environment. 

• Proven ability to deliver high-quality software, showcased through a portfolio on GitHub, similar platforms, or directly with the selection panel.

• Strong communication and interpersonal skills, with the ability to work independently and as part of a diverse team.

• Demonstrated understanding of research workflows, and awareness of Research Data Management principles, such as FAIR data and the CARE principles. 

• Demonstrated ability to explain software engineering principles and make informed engineering decisions.

• Demonstrated experience with relational data modelling and SQL, ideally for analytical purposes.

• Demonstrated experience transforming and producing structured data in common formats such as JSON, CSV, and XML. 

• Experience working in linguistics, text analysis or a related discipline is desirable.

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.

Questions? 

For more information about this opportunity, please contact Moises Sacal Bonequi m.sacalbonequi@uq.edu.au. For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line. 
 

Want to Apply? 

All applicants must upload the following documents in order for your application to be considered:

• Cover letter summarising how your background aligns to the ‘About You’ section  

• Resume 

Other Information 

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don’t meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

We know one of our strengths as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. Reach out to talent@uq.edu.au for accessibility support or adjustments.

Applications close Sunday 1st June 2025 at 11.00pm AEST (R- 51437). Please note that interviews have been tentatively scheduled for the week of the 9th of June 2025.