4-year industry PhD scholarship+top-up on online misinformation detection@Uni Adelaide

School of Mathematical Sciences, University of Adelade

Closing date: COB 28 October 2021

The spread of misinformation online is believed to be driven in part by non­human actors: algorithms and bots, often coordinated offshore. Recent research has developed algorithms for identifying such bots through measures of coordination: accounts that post to social media at similar times, or with similar, recognisable patterns of behaviour. State-of-the-art approaches to bot detection nonetheless use relatively naive social media analytics and measures, and not using the full extent of information (e.g., network structure and full post content) available. This project will develop new measures of social information flow to understand the extent of online social influence, and build new tools to counter malicious coordinated behavior, in real time.

4-year PhD stipend ($28,597 p/a) plus $12,500 p/a (Supplementary Scholarship, indexed annually); includes internship with Defence Science and Technology Group (DSTG). Applicants must be Australian citizens able to obtain security clearance. Applications for this UAiPhD project should be submitted to Associate Professor Lewis Mitchell by no later than COB 28 October 2021.

https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-engineering-computer-and-mathematical-sciences-35

Senior Research Fellow or Research Fellow@Curtin University

School of Electrical Engineering, Computing, and Mathematical Sciences

$103,101 – $144,971 (ALB/C) plus 17% superannuation

Fixed-term full-time research position

Help shape the future of optimisation and applied mathematics at Curtin

Please apply through the Curtin University job board: http://staff.curtin.edu.au/job-vacancies/?ja-job=355607

Application closing date 10:00pm AWST, Friday 15th October 2021

The School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University brings together the university’s expertise in data science, artificial intelligence, and digital technologies. The school includes several major collaborative ventures with industry and government, including the Optus-Curtin Centre of Excellence in Artificial Intelligence, the ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Cisco Centre for Networks, and the Curtin Institute for Computation.
  
Optimisation is one of the school’s core research themes and the optimisation group in the school (part of the mathematics and statistics discipline) is a key pillar in Curtin University’s data science portfolio. The university is now seeking a senior research fellow or research fellow to collaborate with industry and government partners, conduct high-quality fundamental research in optimisation and operations research, and drive research funding opportunities. This is a research-focused position reporting to the group director.

Position description

Application link

If you have a query in relation to the application process please contact our careers team on curtincareers@curtin.edu.au

If you have any further queries regarding the role, please contact:
Professor Ryan Loxton, Discipline Lead – Mathematics and Statistics, r.loxton@curtin.edu.au

PhD top-up scholarship suitable for applied maths/stats@ANU

Computational methods for pupil-based disease diagnostics

Pupils are a diagnostic window onto the eye and brain circuits that govern their movements and hold the promise of contactless disease screening. However, the journey from pupil response to disease biomarker is a challenging road paved with complicated computational methods and ingenious visual stimulus design. A biomarker refers to a characteristic that is objectively measured and evaluated as an indicator of normal biological processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention (US National Institutes of Health. Biomarkers Definitions Working Group, 1998). When combined with computational methods to allow systematic data analyses at scale to discover disease, immune, and treatment-response signatures, biomarkers can be used to develop novel diagnostics.We seek a PhD candidate with a background in computer science, computational neuroscience, or applied mathematics to join a multidisciplinary team developing novel algorithms that transform pupil-diameter time series to biomarkers for disease. Students with strong analytic and programming abilities combined with an interest in solving big health problems through engineering are encouraged to apply.The position would jointly supervised by Dr Elena Daskalaki and Dr Josh van Kleef and attract a generous top-up scholarship of $10K p.a. for 3 years provided by our commercial partner (Konan Medical USA). It is expected that suitable candidates would have qualified for an Australian Postgraduate Award or equivalent scholarship for international candidates.This research will be delivered in partnership with Our Health in Our Hands (OHIOH), a strategic initiative of the Australian National University, which aims to transform healthcare by developing new personalised health technologies and solutions in collaboration with patients, clinicians, and health care providers. Research undertaken by the group has already resulted in a number of patents, so there is strong potential for commercial applications arising from this project.

Team

  • A/Prof. Hanna Suominen (ANU School of Computing)
  • Prof. Ted Maddess (JCSMR)
  • Dr. Elena Daskalaki (ANU School of Computing)
  • Dr. Josh van Kleef (JCSMR)

References and Reading Recommendations

  • Carle, C.F., James, A.C., Kolic, M., Loh, Y.W. and Maddess, T., 2011. High-resolution multifocal pupillographic objective perimetry in glaucoma. Investigative Ophthalmology & Visual Science, 52(1), pp.604-610.
  • Carle, C.F., James, A.C., Rosli, Y. and Maddess, T., 2019. Localization of neuronal gain control in the pupillary response. Frontiers in neurology, 10, p.203.
  • James, A.C., Ruseckaite, R. and Maddess, T., 2005. Effect of temporal sparseness and dichoptic presentation on multifocal visual evoked potentials. Visual Neuroscience, 22(1), p.45.
  • Maddess, T.L., James, A.C. and Carle, C.F., Australian National University, 2017. Clustered volley method and apparatus. U.S. Patent 9,848,771.

ApplicationsTo express your interest in this PhD scholarship, please email the following documents to Josh van Kleef:

  • Current CV
  • Research proposal (max 2 pages)
  • Colour copies of all transcripts and completion certificates of prior study, in original language and  official English translations
  • Contact details for 3 referees.

https://cecs.anu.edu.au/research/student-research-projects/what-our-eyes-can-tell-about-our-health-0

Professor or A/Prof. @ Curtin University

School of Electrical Engineering, Computing, and Mathematical Sciences

$151,317 – $194, 454 (ALD – ALE) plus 17% superannuation

Fixed-term full-time research position (5 years)

Teaching and research appointment

Application closing date 10:00pm AWST, Friday 15th October 2021

Job Reference: 780919
  

The School of Electrical Engineering, Computing, and Mathematical Sciences at Curtin University brings together the university’s expertise in data science, artificial intelligence, and digital technologies. The school includes several major collaborative ventures with industry and government, including the Optus-Curtin Centre of Excellence in Artificial Intelligence, the ARC Industrial Training Centre for Transforming Maintenance through Data Science, the Cisco Centre for Networks, and the Curtin Institute for Computation.
  
Optimisation is one of the school’s core research themes and the optimisation group in the school (part of the mathematics and statistics discipline) is a key pillar in Curtin University’s data science portfolio. The university is now seeking a new professor or associate professor to provide academic leadership within the optimisation group, expand the group’s collaborations with industry and government, and foster and lead new demand-driven research funding opportunities. This is a research-focused position reporting to the group director. The successful candidate will be a senior member of the mathematics and statistics discipline at Curtin and will play a leading role in shaping the future of applied mathematics and data science at the university.

Position description

Application link

If you have a query in relation to the application process please contact our careers team on curtincareers@curtin.edu.au

If you have any further queries regarding the role, please contact:
Professor Ryan Loxton, Discipline Lead – Mathematics and Statistics, r.loxton@curtin.edu.au