Research Fellow/Fellow in Computer Science
Classification: Academic Level C
Salary package: $118,044 - $131,402 per annum plus 17% superannuation
Terms: Full time, Fixed term (3 years)
The Australian National University (ANU) is a global university that consistently ranks among the world’s finest. Its distinct intellectual capacity is reflected in 95% of its research output being ranked above world standard. This research excellence contributes to the social, economic and human capital of the nation. The ANU is located in Canberra, Australia’s capital and is a partner to the Australian government and a resource for its people. Canberra was evaluated in the Organisation for Economic Co-operation and Development (OECD) Regional Well-Being Report 2014 as the most liveable city in the world.
The ANU College of Engineering and Computer Science (CECS) is dedicated to contributing to The Australian National University’s reputation for excellence in research and research-led education, bringing together expertise across a range of areas to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. Our academics and students are engaged in ground-breaking, cutting-edge research, in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence.
One of the reasons ANU stands apart from other universities is its ability to look beyond the day to day and address some of the biggest problems facing the world. The ANU Grand Challenge Scheme is a program that calls on researchers to identify a problem or challenge that is of world impact and national relevance. What is unique about the program is the way it seeks to bring people together from all across the University, to bring new perspectives to a major challenge confronting society.
The winner of the first round of this scheme, announced in November 2017, is the project titled ‘Our Health in Our Hands: Future Personalised Medical Technologies for Sustainable and Effective Healthcare’ (OHIOH). This project aims to revolutionise personalised medicine by providing new means for non-invasive collection and analysis of health data including the development of miniaturised sensors for detection of biomarkers in multiple sclerosis (MS) and diabetes.
We are seeking an Academic Level C for a fixed term for a period of up to three (3) years to contribute to software engineering and databases related to machine learning (ML) and cybersecurity as keys to unlock big multi-modal time-series data. The overall purpose is to develop future technologies for objectively revealing early indicators of MS and diabetes, their progression, and their prognosis over time whilst ensuring healthcare patients and professionals’ right for privacy. If modelled correctly as features in ML, data collected from smartphones and new sensors holds the potential for early detection and regular monitoring of disease in an affordable, scalable, noninvasive, patient-friendly manner in the comfort of the patient’s own home. However, real-life privacy-sensitive data are a prerequisite for conducting the proposed project, and consequently, storing and using confidential data requires careful consideration and compliance with legal and ethical principles and standards related to healthcare devices, personal data, health records, and data processing systems.
Applications are particularly invited from researchers whose interests are synergistic with existing research groups within the RSCS and whose breadth of vision reaches across traditional discipline silos. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break or who have achieved excellence in careers outside of academia.
To enquire about these positions please contact Adjunct/Professor Hanna Suominen P: +61 2 6125 3257, E: firstname.lastname@example.org
ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion
The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, please visit https://services.anu.edu.au/human-resources/
Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:
- A detailed curriculum vitae including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
- A statement addressing the selection criteria.
- A 1-2 page statement outlining your approach to coursework education and student project supervision.
- A 1-2 page statement outlining your research objectives for the next 3 years if appointed.
- Other documents, if required.
Please note: The successful applicant must have rights to live and work in this country.
Applications which do not address the selection criteria may not be considered for the position.
Given the sensitive nature of the information and domain of health informatics, the role may require an Australian Security Clearance (Baseline+). Hence, the applicant holding or being able to obtain this clearance is desirable. To be eligible to obtain the clearance, Australian citizenship is required.
Advertised: 18 Mar 2019 09:00:00 AM AUS Eastern Daylight Time
Applications close: 14 Apr 2019 11:55:00 PM AUS Eastern Standard Time