Data Scientist
• Lead the training of staff and HDR students using appropriate statistical programming applications
• Ongoing, full-time position located in Launceston with relocation assistance considered
• Great staff benefits, such as purchased leave and accommodation discounts
About the opportunity
Agriculture is undergoing a revolution triggered by the exponentially increasing use of digital technologies and data-driven innovations. We are seeking to appoint a Data Scientist in the Tasmanian Institute of Agriculture which is part of The College of Sciences and Engineering.
What you’ll do:
• Provide expert advice to staff and postgraduate students in the scientific planning, design, data analysis, and reporting of TIA Research and Development and Industry Engagement.
• Mentor staff and postgraduate students to independently carry out the scientific planning, design, data analysis associated with TIA activities.
• Deliver the learning and teaching of scientific planning, statistical design, data analysis, and interpretation, to the Institute’s undergraduate and postgraduate teaching programs including the Bachelor of Agricultural Science and Master of Agriculture and Food Sciences.
• Undertake independent research into real-world, industry-aligned data science problems in the agricultural and food sector.
• Make a strong and sustained contribution to the University in achieving its strategic objectives and fulfilling its operational responsibilities.
What we’re looking for:
• A PhD or equivalent in a relevant field.
• Refereed publications and a track record of research funding success in a field of study cognate to the Agricultural Sciences.
• Experience in the delivery of teaching to undergraduate and postgraduate students.
• A demonstrated knowledge of the statistical methodology essential for likely applications of data science in agriculture research.
• Experience in the use of R (essential), and Python (desirable).
• Capacity to build and maintain effective and productive links locally, nationally, and internationally with the discipline, interdisciplinary domain, profession, industry and/or wider community.
• Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modelling to develop algorithms would also be desirable.
Salary details
Appointment to this role will be at Academic Level B or C, depending on experience, and will have a total remuneration package of up to $173,682 comprising base salary within the range of $78,499 to $148,446 plus 17% superannuation.
Considering a move to Tasmania to take up this opportunity?
Offering a breath of fresh air, our island State’s wild landscapes, rugged coastlines, distinctive towns, and fascinating history have something for everyone. Tasmania has crafted a unique brand of creativity and adventure such as the world-famous MONA and the exceptional mountain bike tracks of Derby. Our acclaimed fresh food and beverage scene, family-run businesses, and diverse culinary experiences celebrate farm-fresh produce. From our island shores, our research extends to the great Southern Ocean and Antarctic and across the Asia-Pacific.
How to Apply
• To apply online, please provide the following supporting documentation:
o Resume
o Cover letter outlining your suitability and motivation for the role
o Your responses to the success criteria from the Position Description below
• For further information about this position, please contact Caroline Mohammed, Centre Lead Agriculture Systems, [email protected] phone: +61 03 6226 2921.
• Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process.
• Please refer to the attached Position Description Below for full details.
Link to Position Description to be included here.
Applications close Sunday 7th January 2024, 11.55pm
• Lead the training of staff and HDR students using appropriate statistical programming applications
• Ongoing, full-time position located in Launceston with relocation assistance considered
• Great staff benefits, such as purchased leave and accommodation discounts
About the opportunity
Agriculture is undergoing a revolution triggered by the exponentially increasing use of digital technologies and data-driven innovations. We are seeking to appoint a Data Scientist in the Tasmanian Institute of Agriculture which is part of The College of Sciences and Engineering.
What you’ll do:
• Provide expert advice to staff and postgraduate students in the scientific planning, design, data analysis, and reporting of TIA Research and Development and Industry Engagement.
• Mentor staff and postgraduate students to independently carry out the scientific planning, design, data analysis associated with TIA activities.
• Deliver the learning and teaching of scientific planning, statistical design, data analysis, and interpretation, to the Institute’s undergraduate and postgraduate teaching programs including the Bachelor of Agricultural Science and Master of Agriculture and Food Sciences.
• Undertake independent research into real-world, industry-aligned data science problems in the agricultural and food sector.
• Make a strong and sustained contribution to the University in achieving its strategic objectives and fulfilling its operational responsibilities.
What we’re looking for:
• A PhD or equivalent in a relevant field.
• Refereed publications and a track record of research funding success in a field of study cognate to the Agricultural Sciences.
• Experience in the delivery of teaching to undergraduate and postgraduate students.
• A demonstrated knowledge of the statistical methodology essential for likely applications of data science in agriculture research.
• Experience in the use of R (essential), and Python (desirable).
• Capacity to build and maintain effective and productive links locally, nationally, and internationally with the discipline, interdisciplinary domain, profession, industry and/or wider community.
• Machine Learning concepts and techniques, including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modelling to develop algorithms would also be desirable.
Salary details
Appointment to this role will be at Academic Level B or C, depending on experience, and will have a total remuneration package of up to $173,682 comprising base salary within the range of $78,499 to $148,446 plus 17% superannuation.
Considering a move to Tasmania to take up this opportunity?
Offering a breath of fresh air, our island State’s wild landscapes, rugged coastlines, distinctive towns, and fascinating history have something for everyone. Tasmania has crafted a unique brand of creativity and adventure such as the world-famous MONA and the exceptional mountain bike tracks of Derby. Our acclaimed fresh food and beverage scene, family-run businesses, and diverse culinary experiences celebrate farm-fresh produce. From our island shores, our research extends to the great Southern Ocean and Antarctic and across the Asia-Pacific.
How to Apply
• To apply online, please provide the following supporting documentation:
o Resume
o Cover letter outlining your suitability and motivation for the role
o Your responses to the success criteria from the Position Description below
• For further information about this position, please contact Caroline Mohammed, Centre Lead Agriculture Systems, [email protected] phone: +61 03 6226 2921.
• Please visit https://www.utas.edu.au/jobs/applying for our guide to applying and details on the recruitment process.
• Please refer to the attached Position Description Below for full details.
Link to Position Description to be included here.
Applications close Sunday 7th January 2024, 11.55pm
