Research Fellow, NLP / Media Bias
Job no: 0057423
Role type: Full-time, Fixed-term until August 2026
Faculty: Engineering and Information Technology
School: Computing and Information Systems
Salary: Level A – $80,258 - $108,906 p.a. plus 17% super
- Collaborate on a nationally recognised research project and join a world-renowned School of Computing.
- Conduct world-class research, with the opportunity to publish in leading venues, and to contribute to the School’s teaching initiatives.
- Salary packaging, subsidised health and wellbeing services, fitness and cultural clubs, Myki discounts, and a 25% discount on graduate courses to our staff and their immediate families!
About the Role
This fixed term position contributes to a DECRA project led by Lea Frermann on models of media narratives and biased news reporting of prominent, contested issues such as climate change. You will conduct independent research relevant to the theme of the project leading to publications of research outcomes in top-tier conferences and journals. The position provides opportunity to engage in supervising student research projects. You may support teaching in Machine Learning (up to 0.2 FTE) within the school.
You will be embedded in the dynamic natural language processing group in the School of Computing and Information Systems. This position offers an excellent opportunity for an early-career researcher to advance their academic career in an active research environment contributing to project with high relevance and anticipated practical impact.
Your responsibilities will include:
- Independently plan and carry out research on the nominated research project and work towards completion of the aims of the project aligned with the advice and direction of the project chief investigators;
- Contribute to teaching, training, scientific mentoring and supervision of students;
- Active participation in the communication and dissemination of research;
Who We Are Looking For
To be successful in this role, you will be a highly motivated and accomplished researcher with a strong interest in Natural Language Processing and/or Machine Learning and a demonstrated background in Computer Science or an allied field, capable of conducting independent research aligned with team and project goals and producing impactful research outcomes. You should possess excellent communication skills, both in written and verbal forms, to effectively collaborate with other researchers and communicate research findings. You should possess strong time-management and organisational abilities to balance independent research, teaching, and supervision responsibilities. Additionally, adaptability and openness to new ideas are crucial soft skills to thrive in a dynamic academic environment.
You should also have:
- A PhD Natural Language Processing, Machine Learning, or related field awarded or submitted for examination
- A record of quality research as evidenced by publications in leading journals and at conferences Demonstrated ability to collaborate well with others and to perform independent research
- An interest in interdisciplinary collaboration
For further information regarding responsibilities and requirements, please refer to the attached PD.
This position requires the incumbent to hold a current and valid Working with Children Check to ensure the University provides a safe environment for everyone.
Your New Team – School of Computing and Information Systems (CIS)
The School of Computing and Information Systems (CIS) is renowned globally for its excellence in information technology research and teaching. CIS holds a prominent position in Australia, consistently ranking at the top for Computer Science (according to 2023 THE and QS rankings). The school received the highest "5 – Well above world standard" rating in both Information and Computing Sciences and Information Systems in the 2018 Excellence in Research for Australia (ERA) evaluation.
CIS is home to highly successful research teams specializing in key areas such as Computer Science (CS), Artificial Intelligence (AI), Human-Computer Interaction (HCI), and Information Systems (IS), along with the Centre for Artificial Intelligence and Digital Ethics (CAIDE).
The school offers majors in the three-year undergraduate 'Melbourne Model' degrees and provides specialized graduate programs in CS (including software engineering), AI, HCI, and IS. CIS also has a vibrant community of active graduate research students, both domestic and international, who consistently publish their work in top venues and actively engage with the academic community.
What We Offer You!
In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page!
About the University of Melbourne
We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn.
The University of Melbourne values the unique backgrounds, experiences and contributions that each person brings to our community and welcomes and celebrates diversity. First Nations people, those identifying as LGBTQIA+, parents, carers, people of all ages, abilities and genders, and people of diverse ethnicity, nationality and faith are encouraged to apply. Our aim is to create a workforce that reflects the diversity of the community in which we live. For more information please visit our Diversity and Inclusion page.
We are dedicated to ensuring barrier free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact the email address listed at the bottom of the page.
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne.
For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerring
If you feel this role is right for you, please apply with the following documents:
- Cover Letter outlining your interest and experience
- The responses against the Selection Criteria^ (found in the Position Description)
^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria
If you have any questions regarding the recruitment process, please feel free to contact Fahim Farzad via email at Faculties-TA@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address.
If you have any particular questions regarding the job please follow the details listed on the Position Description.
Applications close: 25 October 2023 11:55 PM Australian Eastern Standard Time (AEST)
Position Description: 0057423_Research Fellow, NLP Media Bias_PD (2).pdf