Data Scientist in Drone Risk Modelling

1 week ago

Brisbane, Queensland, Australia Queensland University Of Technology Full time

We are seeking a Data Scientist to join our team at Queensland University Of Technology, working on a collaborative project with industry partners and the federal government. This role involves developing quantitative approaches to uncrewed (drone) aircraft collision risk modelling using data, applied statistics, and practical aviation constraints/standards.

The successful candidate will conduct research within the Australian Digital Airspace Characterisation project, funded by the Emerging Aviation Technologies Partnerships program. They will use multiple large datasets and supporting infrastructure to create new digital resources and information that enhance uncrewed mission planning, flight approval, airspace management, and regulatory applications.

As a key member of our team, you will work closely with industry partners and stakeholders to test and translate the collision risk models into real-world applications. You will also collaborate with our experienced researchers to develop cutting-edge solutions for the aviation industry.

About Us:

Queensland University Of Technology is a major Australian university with a global outlook and a 'real world' focus. We are an ambitious and collaborative institution that seeks to equip our students and graduates with the skills they will need in an increasingly disrupted and challenged world.

We strive to foster a culture that encourages connection between people and purpose. Our vision is to inspire and shape the next generation of change-makers, and we believe that diversity is our strength.

Job Requirements:

To succeed in this role, you will need:

  1. Completion of a PhD in a relevant discipline, preferably in Mathematics or Engineering (Robotics, Aerospace, Computer Systems, Electrical)
  2. Demonstrated ability to conduct applied research, balancing theoretical and practical engineering concepts
  3. Demonstrated experience in manipulating, exploring, and analysing large data sets using advanced statistical techniques
  4. Demonstrated experience using mathematical software packages (e.g., MATLAB, Python, R) and/or developing software in other packages (C, C#)
  5. Demonstrated written communication skills, including the ability to maintain accurate records, with a demonstrated track record in publishing in high-quality conferences and journals, and experience in summarising scientific data in reports
  6. Demonstrated ability and motivation to engage and actively collaborate with industry partners and government
  7. Demonstrated ethical standards in research confidentiality, including the ability to protect intellectual property

Benefits:

We offer a competitive remuneration package, including:

  • A salary of $130,347 to $154,804 per annum
  • Up to 17% superannuation and leave loading of 17.5%
  • Generous maternity leave, including primary carer parental leave of up to 26 weeks (including 17% super)
  • Stay healthy with Fitness Passport and enjoy discounted rates on private health insurance
  • Purchased Leave Scheme - up to 8 extra weeks
  • Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms
  • Numerous opportunities for professional development, including leadership programs and workshops, and our study assistance scheme

Join us:

We believe that diversity is our strength, and we encourage individuals from diverse cultures, ages, linguistic backgrounds, sexual orientations, and gender identities, and those who are living with disabilities to apply for positions at QUT.

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