Research Fellow, Multimodal Interfaces and Behaviour Analytics

Location
Glen Eira, Australia
Posted
15 Oct 2018
End of advertisement period
15 Dec 2018
Ref
581473
Contract Type
Fixed Term
Hours
Full Time

Location: Caulfield campus
Employment Type: Full-time
Duration: Three year fixed-term appointment
Remuneration: $95,297 - $113,166 pa Level B (plus 17% employer superannuation)

  • Be inspired, every day
  • Drive your own learning at one of the world’s top 80 universities
  • Take your career in exciting, rewarding directions

Everyone needs a platform to launch a satisfying career. At Monash, we give you the space and support to take your career in all kinds of exciting new directions. You’ll have access to quality research, infrastructure and learning facilities, opportunities to collaborate internationally, as well as the grants you’ll need to publish your work. We’re a university full of energetic and enthusiastic minds, driven to challenge what’s expected, expand what we know, and learn from other inspiring, empowering thinkers.

The Opportunity

The Faculty of Information Technology is in the top 70 in the world for computer science (2018 QS global rankings). We have over 130 academics working in Human-Computer Interaction and Creative Technologies, Artificial Intelligence and Language Technologies, Data Science and Machine Learning, Cybersecurity, and Organisational and Social Informatics. Our growth has accelerated rapidly this past year, including establishing new groups in HCI, Human-Centred AI, Spoken and Multimodal Dialogue, Assistive Technologies, Artificial Intelligence, and Digital Health—led by international leaders in the field Sharon Oviatt, Phil Cohen, and Patrick Olivier, and others.

We are inviting an outstanding Research Associate to join our world-class team in Human Computer Interaction and Human-Centred AI. The position is a three-year fixed-term appointment at Level B in the area of multimodal interfaces and behaviour analytics. The applicant will join a rapidly growing multidisciplinary group with expertise in mobile and multimodal-multisensor interfaces, wearable and contextually-aware personalized interfaces, agent-based conversational interfaces, data analytics for predicting user cognition and health status, human-robot interaction, brain-computer and adaptive interfaces, education and health interfaces and related topics in human-centred interfaces.

The focus of your role will include research on predicting user cognition and/or health status based on analysis of different modalities (such as speech, writing, physical activity patterns, gaze, bio-sensors, etc.) during naturally occurring activities. These analyses will involve exploring predictive patterns at the signal, activity pattern, lexical, and/or transactional levels.

The preferred candidate would be an energetic and innovative researcher with a strong publication record who is interested in pioneering in emerging research areas. The candidate should have completed a PhD in computer science, engineering, information sciences, cognitive or linguistic sciences, and have a deep interest in developing new technologies to identify and facilitate users’ cognitive and health status. The candidate ideally would have completed 2-4 years of postdoctoral research, would have strong methodological skills, and be interested in using their research findings to develop personalized and adaptive interfaces that promote users’ learning, performance, and/or health.

Professor Sharon Oviatt, Director of HCI and Creative Technologies, is the supervisor. She is an ACM Fellow and international pioneer in human-centred, mobile and multimodal interfaces.

Experimental Labs and Design Spaces

The university has made recent strategic investments in facilities for prototyping innovative concepts, collecting and analyzing data, and displaying digital installations and interactive media—including SensiLab (supporting tangible, wearable, augmented and virtual reality, multimodal-multimedia, maker-space), Immersive Visualization platform and Analytics lab, Centre for Data Science, and ARC Centre of Excellence on Integrative Brain function (pioneering new multimodal imaging techniques for data exploration). The university currently is investing in HCI group usability facilities for prototyping and developing new mobile, robotic, and multimodal-multisensory interfaces, and for capturing and analyzing human multimodal interaction (e.g., whole-body activity, speech), and predicting users’ emotion, cognition, and health/mental health status.

Melbourne Area

Melbourne Area: Melbourne recently has been rated the #1 city worldwide for quality of life (see Economist & Guardian, http://www.economist.com/blogs/graphicdetail/2016/08/daily-chart-14 and https://www.theguardian.com/australianews/2016/aug/18/melbourne-wins-worlds-most-liveable-city-award-sixth-year-in-a-row), with excellent education, healthcare, infrastructure, low crime, and exceptional cuisine, cultural activities, and creative design. The regional area is renowned for its dramatic coastline, extensive parks, exotic wildlife, and multiple surrounding wine regions.

To Apply

Submit application materials no later than December 15, 2018, including

  1. Cover letter (indicating date of availability; Start date is negotiable, but preferably between February and July of 2019).
  2. Current CV with publication list, and research and teaching interests
  3. 3 references with email/phone contacts
  4. Graduate transcripts
  5. Three representative publications

Your application must address the selection criteria. Please refer to "How to apply for Monash Jobs".

The faculty is strongly committed to improving the diversity of our staff and students, and promoting a culture of equity, fairness, respect and openness. We fully support the principles of the Athena SWAN Charter. Applications from female candidates and couples are encouraged.

Enquiries

Professor Sharon Oviatt, Faculty of Information Technology, Sharon.oviatt@monash.edu

Position Description

Download File Research Fellow (Multimodal Interfaces and Behaviour Analytics)

Closing Date

Saturday 15 December 2018, 11:55 pm AEDT

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