Organisation/Company: UNIVERSITY OF SOUTH AUSTRALIAResearch Field: EngineeringResearcher Profile: Recognised Researcher (R2), Established Researcher (R3)Country: AustraliaApplication Deadline: 17 Nov 2024 - 00:00 (UTC)Type of Contract: OtherJob Status: Full-timeIs the job funded through the EU Research Framework Programme? Not funded by a EU programmeIs the Job related to staff position within a Research Infrastructure? NoOffer DescriptionBased in UniSA STEM at the Mawson Lakes campusFull-time, fixed term contract until 1st of January 2026About the RoleThe Research Associate will drive the research efforts within UniSA STEM, contributing to innovative solutions for the 'Enhancing the RAN's Undersea Surveillance Minimum Viable Capability' project. Reporting to a Professorial Lead, this role will support critical advancements in Defence and National Security, specifically by developing mathematical and AI-driven models to optimise the deployment of uncrewed surface vehicles for undersea surveillance in varying threat environments.The role collaborates with UniSA researchers and external partners to drive advancements in AI for undersea surveillance.Core ResponsibilitiesUndertake research under limited supervision to achieve project grant outcomes according to project milestonesDevelop Bayesian models to infer target detection probabilities, accounting for variables such as platform speed, target noise, depth profiles, and environmental parametersCollaborate with stakeholders to enhance user interaction through advanced NLP methods, enabling natural language enquiriesPrepare or contribute to journal publications, conference, and seminar papersProvide advice to post graduate students in the appointee's area of expertiseContribute to the Unit teaching activities, including developing research-related materialsEssential Skills and ExperienceA doctorate or postgraduate degree in a Science or Engineering field relevant to the research areaNV1 security clearance or eligibility to obtain itResearch experience with a focus on Bayesian modellingProven record of high-quality research outputs, published and presented in relevant forumsStrong written and verbal communication skills, demonstrated through publications, reports, and collaboration with external partners, colleagues, and studentsCultureAt the University of South Australia, we value workplace diversity and are committed to providing a supportive, inclusive, and respectful work environment for all people. We strongly encourage applications from Aboriginal and Torres Strait Islander Peoples, women, members of the LGBTIQ+ community, people of culturally diverse backgrounds and people with disability.For a copy of the position description and to apply, please visit Working at UniSA. The online application form will list the specific selection criteria that you need to address.Please address your cover letter to Georgia Borg, Consultant Recruitment Central. For further information about the position or the recruitment process, please contact UniSA Recruitment Central on or via email at using job reference number 6676.We are committed to providing an equitable and barrier-free recruitment process and encourage you to share any support, adjustments and/or access requirements you have by contacting our Recruitment Central team on . Anything you tell us will be kept completely confidential.Applications are welcomed from Australian citizens, residing in Australia only.Appointment is subject to a Personnel Security Clearance at NEGATIVE VETTING LEVEL 1 being obtained and maintained.Applications must be lodged online; please note UniSA does not accept applications via email.Start your application by clicking the 'BEGIN' buttonIf you have already registered for an account, please login before starting your applicationIf you have forgotten your login details, click here to reset your passwordYou will be able to save your progress throughout your applicationUniSA is committed to developing a diverse workforce and a constructive enterprising culture in which everyone can thrive.#J-18808-Ljbffr