Level A ($75,888-$102,040) per annum plus an employer contribution of 17% superannuation Level B ($107,276-$126,894) per annum plus an employer contribution of 17% superannuation 24 months full time fixed-term contract The School of Agriculture, Food and Wine at the University of Adelaide is seeking a Postdoctoral Research Fellow to conduct investigations into molecular phenotyping approaches aimed at predicting wheat genotypes resilient to the anticipated warmer temperatures in future environments.
We are committed to fostering a diverse and inclusive academic environment where all voices are valued and celebrated. We believe that diversity enriches our community and enhances the quality of our scholarship and research. We invite applications from individuals who share our commitment to diversity, equity, and inclusion. We particularly encourage applications from women, as well as individuals from underrepresented cultural and ethnic backgrounds to apply.
The Grant Funded Researcher will play a vital role in the new Grains Research and Development Council (GRDC) analytics initiative, Analytics for the Australian Grains Industry (AAGI). The primary responsibilities of the candidate will revolve around complex statistical modelling, computational statistics, software application development, reporting of analytics, and collaborating with multi-disciplinary nationwide research teams. There will also be an opportunity for the candidate to broaden their analytical skillset through professional development and this may include aspects of machine learning, artificial intelligence, and data science.
The ideal candidate will possess strong programming skills in R or Python, excellent communication abilities, and a proven ability to meet deadlines.
The position is situated within the School of Agriculture, Food & Wine, part of the Faculty of Sciences, Engineering, and Technology, located at the Waite Campus of the University of Adelaide. The Waite campus boasts a premier concentration of scientific research, education, and resource capacity, ensuring access to appropriate infrastructure and facilities.
Key Responsibilities:
Complex statistical modelling: Utilize advanced statistical modelling techniques and methodologies to analyze and interpret project research data. Computational statistics: Develop and implement computational pipelines to automate and handle large-scale datasets, including data cleaning, preprocessing, and analysis. Online software application development: Assist in designing, developing, and maintaining software applications and tools to support research projects, including data management systems, data visualization tools, and statistical analysis software. Analytical reporting: Prepare comprehensive technical reports and presentations summarizing research findings, statistical analyses, and computational methodologies. Effectively communicate complex concepts and results to both technical and non-technical audiences. Collaboration: Collaborate with researchers from various disciplines and institutions to ensure the successful completion of research projects. Assist in the development of collaborative international journal articles by contributing to the research design, data analysis, and manuscript preparation. Time management: Manage and prioritize the analytical requirements of multiple research projects simultaneously, ensuring timely completion of deliverables. Effectively coordinate with team members, principal investigators, and external collaborators. Data integrity and ethics: Maintain the highest standards of data integrity, research ethics, and confidentiality. Adhere to institutional, funding body and ethical guidelines while handling sensitive and confidential research data. Qualifications and Skills (Essential):
Minimum Honours or equivalent degree in Statistics, Data Science, Computer Science, or a related field. Strong proficiency in statistical modelling, data analysis, and computational statistics. Proficiency in programming languages such as R or Python, with experience in data manipulation, visualization, and statistical packages (e.g., ggplot2, ASReml, odw) Excellent communication skills, both written and verbal, with the ability to present complex information clearly and effectively. Demonstrated ability to meet deadlines, work independently, and collaborate in a team environment. Knowledge of research methodologies, experimental design, and statistical inference. Knowledge of plant breeding and pre-breeding concepts and how they relate to comparative experimentation. Proven track record of publishing research articles in peer-reviewed journals. Skills (Desirable):
Experience with version control systems (e.g., Git) and software development best practices. Familiarity with machine learning algorithms and techniques is a plus. The Postdoctoral Research Fellow will join a dynamic and interdisciplinary analytics research team, contributing to cutting-edge GRDC research projects and shaping the future of statistical analysis and computational modelling. This position offers an excellent opportunity for professional growth and academic development within a vibrant research environment.
Enjoy an outstanding career environment The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.
We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.
In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. TheFacultyactively partners with innovative industries to solve problems of global significance.
Learn more at:set.adelaide.edu.au
How to Apply Click on the link below to view the position description and to apply for this position:
careers.adelaide.edu.au/cw/en/job/514038/postdoctoral-research-fellow-in-data-analytics-ab
Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description
***Applications close 11:55pm, Sunday 16th June 2024*** For further information For a confidential discussion regarding this position, contact:
Dr. Olena Kravchuk
Senior Lecturer -Agricultural Science
School, Agriculture, Food & Wine
E:
The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.
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