(C) The Conversation This story was originally published by The Conversation and is unaltered. . . . . . . . . . . Research Fellow in Statistical Data Science Job at University of Melbourne in Parkville, United States [1] [] Date: 2023-06 Posted 28 June, 2023 Opportunity to join a dynamic research program in the broad context of statistics and data science Job no: 0049144 Location: Parkville Campus. Melbourne, Australia Role type: Full-Time; Fixed-Term for 3 years Faculty: Faculty of Science Department/School: School of Mathematics and Statistics Salary: Level A: AUD $80,258 - $108,906 p.a. (PhD entry level $101,460 p.a.) OR Level B: AUD $114,645 - $136,136 p.a. (pro-rata for part-time) + 17% Superannuation Level of appointment is subject to qualification and experience Exciting opportunity to collaborate with leading experts from diverse disciplines such as data science, machine learning, bioinformatics, genomics, and other areas of mathematics and statistics Excellent career progression opportunities in an environment that values development and growth About the Role The School of Mathematics and Statistics is offering an exciting opportunity for a Research Fellow to become part of our vibrant research community, joining a dynamic research program in the broad context of statistics and data science. In this role, you will expand your expertise to develop a high-level research program encompassing both methodology and applications. Our School provides an exceptional environment that nurtures innovative research in data science and statistics. You'll have unparalleled opportunities to collaborate with researchers across a broad range of disciplines from the Melbourne Centre for Data Science, machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, and big data research in genomics in the Melbourne Integrative Genomics research hub. This is a rare opportunity to join a growing Data Science initiative and allows for both a multi-disciplinary environment as well as the continued development of an individual research agenda. Your responsibilities will include: Research and contribution to knowledge through scholarship, cross-disciplinary or industry collaboration, refereed publication and presentations Active application to, and success in obtaining external research grant income to support that research. Contributing to training, scientific mentoring and supervision of students Engaging with relevant professional and industry bodies and stakeholders to foster collaborative partnerships Who We Are Looking For As the ideal candidate for this position, you should possess a research doctorate in statistics or a related discipline. You are highly motivated to develop your career and demonstrate an emerging track record of high-quality research publications and development of research initiatives. You have experience with, or are excited by the opportunity, to undertake cross-disciplinary projects that have used and/or developed novel statistical and machine learning tools in interesting ways. You will also have: Experience in working with minimal supervision, and ability to prioritise tasks to achieve project objectives within timelines Demonstrated capacity to communicate research concepts to technical and non-technical audiences Excellent written and verbal communication skills, demonstrated by presentation of research results at conferences, internal forums and through manuscript submissions Excellent interpersonal skills, including an ability to interact with internal and external stakeholders (academic, administrative and support staff) in a courteous and effective manner For further information regarding responsibilities and requirements, please refer to the attached PD. This position requires the incumbent to hold a current and valid Working with Children Check to ensure the University provides a safe environment for everyone. Visa sponsorship is available for this position. Your New Team – “School of Mathematics and Statistics” The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline. The School of Mathematics and Statistics has a total of 70 continuing teaching and/or research staff; 34 research only staff and consultants; 16 academic specialists and 16 support staff. In 2020, there were 90 Research Higher Degree and 278 Coursework Master of Science students. Five members of the School staff and one Emeritus Professor are members of the Australian Academy of Science. The school currently hosts two ARC Centres of Excellence, and has hosted four ARC Laureate Fellows, ten ARC Future Fellows and fourteen DECRA Fellows. What We Offer You! In addition, we offer the opportunity to be part of a vibrant community and enjoy a range of benefits, including generous leave provisions, salary packaging, health and well-being services and discounts on graduate courses. For more information, check out our benefits page! About the University of Melbourne We’re tightly connected with the community, both at home and abroad. We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website and stay connected with our stories and people on LinkedIn. Be Yourself We value the unique backgrounds, experiences and contributions that each person brings to our community. For more information, please visit our Diversity and Inclusion page. We encourage and welcome applicants from diverse backgrounds. We are dedicated to ensuring barrier-free and inclusive practices to recruit the most talented candidates. If you require any reasonable adjustments with the recruitment process, please contact us at [email protected]. Aboriginal and Torres Strait Islander Applicants We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people. We recognise that reconciliation is central to our purpose. For more information, please visit our Reconciliation page. Join Us! If you feel this role is right for you, please apply with the following documents: Resume Cover Letter outlining your interest and experience The responses against the Selection Criteria^ (found in the Position Description) ^For information to help you with compiling short statements to answer the selection criteria and competencies, please go to http://about.unimelb.edu.au/careers/selection-criteria Applications close: 29 JULY 2023 11:55 PM Australian Eastern Standard Time (AEST) Position Description: PD - AB_RF in Statistical Data Science.pdf [END] --- [1] Url: https://jobs.theconversation.com/jobs/240672433-research-fellow-in-statistical-data-science-at-university-of-melbourne?utm_source=theconversation.com&utm_medium=website&utm_campaign=sidebar_job Published and (C) by The Conversation Content appears here under this condition or license: Creative Commons CC BY-ND 4.0. via Magical.Fish Gopher News Feeds: gopher://magical.fish/1/feeds/news/theconversation/