Research Fellow, Multimodal Interfaces and Behaviour Analytics

Location
Melbourne, Australia
Posted
30 Aug 2019
End of advertisement period
15 Nov 2019
Ref
597765
Contract Type
Fixed Term
Hours
Full Time

Location: Caulfield campus

Employment Type: Full-time

Duration: Three year fixed-term appointment

Remuneration: $97,203 – 115,429 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

Monash University strongly advocates diversity, equality, fairness and openness. We fully support the gender equity principles of the Athena SWAN Charter and invite you to join us in celebrating women in STEMM.

 The Opportunity

The Faculty of Information Technology is in the top 60 in the world for computer science (2019 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 other core areas of Computer Science. 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 personalised interfaces, conversational interfaces, data analytics for predicting user cognition and health status, human-robot interaction, 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 or health sciences, and have a deep interest in developing new technologies to identify and facilitate users’ cognitive and health status. The candidate ideally would have research beyond the PhD; would have strong methodological skills; and be interested in using their research findings to develop personalised and adaptive interfaces that promote users’ learning, performance, and/or health.

Professor Sharon Oviatt is the Director of Human-Centred A.I. 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 analysing data, and displaying digital installations and interactive media—including SensiLab (supporting tangible, wearable, augmented and virtual reality, multimodal-multimedia, maker-space), Immersive Visualisation 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 analysing human multimodal interaction (e.g., whole-body activity, speech), and predicting users’ emotion, cognition, and health/mental health status.

Melbourne Area

Melbourne has recently been rated the #2 city worldwide for quality of life (see Economist & Guardian), 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 the Yarra Valley wine region.

To Apply

Submit application materials no later than Friday 15 November 2019, including

(1) Cover letter (indicating date of availability; Start date is negotiable, but preferably between February and July of 2020).
(2) Current CV with publication list, and research and teaching interests
(3) 2-3 references with email/phone contacts
(4) Graduate transcripts
(5) Three representative publications

For instructions on how to apply, 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.

This role is a full-time position; however, flexible working arrangements may be negotiated.

At Monash University, we are committed to being a Child Safe organisation. Some positions at the University will require the incumbent to hold a valid Working with Children Check.

Enquiries                               

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

Position Description

Download File Research Fellow Multimodal Interfaces & Behaviour Analytics

Closing Date

Friday 15 November 2019, 11:55 pm AEST

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