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4 X Research Fellow Learning Analytics at Monash University

Applicants are invited to apply for a postdoctoral fellowship position in human computer interaction at Monash University, Australia. The deadline to apply is September 29, 2019.

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 Faculty of Information Technology at Monash University is proud to be establishing a leading international research group in learning analytics and the education hub for developing students, researchers, professionals, and leaders in learning analytics!

This innovative group is led by pioneers of learning analytics and critical data studies and is currently composed of four core faculty members and over 20 affiliate members. The group's research program is focused on three key strands including i) learning analytics in assessment and feedback; ii) curriculum and employment analytics; and iii) emerging themes in learning analytics such as multimodal learning analytics, machine behaviour, and human-AI collaboration in learning.

The activities of the group include research projects with national and international partners, innovative applications of learning analytics across all levels of education and a range of industries, leadership of international field building activities, academic leadership in strategic adoption of learning analytics, and development of students, researchers, professionals, and leaders.

These two research fellowships in learning analytics are focused on machine learning and artificial intelligence foundations of learning analytics. Applicants with strong passion for research and innovation in education and excellent background in machine learning and artificial intelligence techniques are welcome!

The successful candidates will be involved the activities related to the research program of the learning analytics group and actively contributing to the group's three research strands. They are also expected to have proven research record in contemporary (applied) machine learning techniques, experience in working with diverse datasets (e.g., log data, text, physiological, multimodal, and administrative), good understanding of relevant theories about human learning and education, and experience in working in interdisciplinary teams. Proven record of peer-review publications is expected and priority will be given to the applications with strong track-records of peer-reviewed publications in learning analytics.

The successful candidates will have the opportunity to contribute to some teaching as part of their professional development and actively engage with a range of internal and external stakeholders and partners.

This research fellowship in learning analytics is focused on human-centred learning analytics. Applicants with strong passion for research and innovation in education and excellent background in human-centred design, human computer interaction, and learning analytics are welcome. The successful candidate will be involved the activities related to the research program of the learning analytics group and actively contributing to the group's three research strands.

The successful candidate is expected to have proven research record in human-centred design methods, experience in designing and evaluating data analytics-based systems for human learning/education, experience in using modern data analytics techniques, good understanding of relevant theories about human learning and education, and experience in working in interdisciplinary teams. Proven record of peer-review publications is expected and priority will be given to the applicants with strong track-records of peer-reviewed publications in learning analytics. Applicants with background in multimodal learning analytics will be particularly welcomed.

The successful candidate will have the opportunity to contribute to some teaching as part of their professional development and actively engage with a range of internal and external stakeholders and partners.

This research fellowship in learning analytics is focused on learning science foundations of learning analytics. Applicants with strong passion for research and innovation in education and excellent background in the learning sciences and learning analytics are welcome. The successful candidate will be involved the activities related to the research program of the learning analytics group and actively contributing to the group's three research strands.

The successful candidate is expected to have proven research record in the learning science, exceptional understanding of relevant theories about human learning and education, experience with research methods used in the learning sciences, experience with advanced statistical methods, and experience in working in interdisciplinary teams. Priority will be given to the applicants with experience in mixed-research methods and some experience in data analytics techniques. Proven record of peer-review publications is expected in the learning sciences/educational research and priority will be given to the applicants with strong track-records of peer-reviewed publications in learning analytics.

The successful candidate will have the opportunity to contribute to some teaching as part of their professional development and actively engage with a range of internal and external stakeholders and partners.

Please indicate your preferred position in your cover letter.

These roles are full-time positions; 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.

For instructions on how to apply, please refer to "How to apply for Monash Jobs".


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