National University of Sciences and Technology

Role type: Full-time; Continuing Faculty: Science Department/School: School of Mathematics and Statistics Salary: Level of appointment is subject to qualification and experience Level B: AUD $124,656 -$148,023 p.a. Level C: AUD $152,695 -$176,065 p.a. Level D: AUD $183,859 - $202,556 p.a. plus 17% super(retirement savings system/pension scheme) Develop innovative statistical methods for complex 'omics datasets. Apply now to join a world-class school in a leading University. Investing in you - benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities. The University of Melbourne We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. The University of Melbourne provides an outstanding environment in which to develop innovative research in mathematical and statistical data science, with opportunities for collaborations with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics research hub, optimisation researchers in the ARC Training Centre OPTIMA, biological systems modelling or quantum biotechnologies in the ARC Centres MACSYS and QUBIC, as well as applied and theoretical approaches to data science in other departments/faculties across the University.Your next career opportunity The School of Mathematics and Statistics invites applications for a Lecturer/Senior Lecturer, or Associate Professor from dynamic individuals at the forefront of 'omics technologies. The appointment will be at Level B, C, or D (Lecturer, Senior Lecturer, or Associate Professor), depending on the candidate's previous experience. The research will develop and apply statistical methods to complex 'omics data such as genomics, transcriptomics, and microbiome data, with encouragement for work in statistical machine learning. We seek a candidate whose profile complements the School's strengths in data science, including mathematics, statistics, machine learning, optimisation, biostatistics, and genomics. A strong commitment to high-quality teaching and supervision of undergraduate, MSc, and PhD research students is essential. You will be affiliated with Melbourne Integrative Genomics (MIG), a University initiative focused on pioneering statistical methods for omics data. Your responsibilities will include: Conduct Innovative Research: Lead a research programme in statistical genomics, publish in high-impact journals, and secure external funding. Deliver High-Quality Education: Develop and teach statistics and data science courses at undergraduate and postgraduate levels. Supervise Research Students: Guide MSc and PhD students in their research projects, fostering the next generation of data scientists. Engage in Interdisciplinary Collaboration: Work with researchers across the university on cutting-edge projects in bioinformatics and machine learning. You may be a great fit if: You have a strong statistics background and expertise in computational biology to establish and lead a high-level research program. You may also: Hold a PhD in statistics or a closely related discipline. Have a strong publication record in statistical learning applied to large biological datasets. Demonstrate the ability to secure research funding through competitive grant schemes. Possess excellent teaching skills and the ability to develop curriculum in data science. Have experience in supervising graduate students and fostering their academic growth. For further information please refer to the attached PD. What we offer you! We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfillment, including: Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being Progressive, considerate leave provisions to empower your work-life balance Salary packaging and access to a range of discounted services including Bupa health insurance Health and well-being services including a leading Employee Assistance Program For more information check out our benefits page! 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 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students.The School has had 10 staff members inducted as Fellows of the Academy of Science. Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. We are committed to creating an inclusive and equitable workplace where all individuals feel valued, respected, and have the opportunity to thrive regardless of gender identity, ethnicity, sexual orientation, disability, age, being a parent or having caring responsibilities. The University of Melbourne is committed to fostering a barrier-free and inclusive recruitment process. We are dedicated to providing reasonable adjustments for candidates throughout the application and interview stages, including accessible document formats and alternative application methods.To discuss your specific requirements, please feel free to contact Bec Tucker - 0416 888 299 or send an email titled 'Reasonable Adjustments' to hr-careers@unimelb.edu.au.You can find more information for applicants requiring reasonable adjustments on our Careers website: https://about.unimelb.edu.au/careers Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians, with unprecedented investment to attract, nurture and retain Aboriginal and Torres Strait Islander students and staff. Tangible support through a range of programs and initiatives will ensure that you personally succeed and flourish while at the University of Melbourne. For further information, including our 2023-2027 Indigenous strategy please visit -https://about.unimelb.edu.au/reconciliation/murmuk-djerringIf you are a member of an Aboriginal and/or Torres Strait Islander community and would like any support, please feel free to contact our Indigenous Employment & Development team via email at oied-hr@unimelb.edu.au. Working at the University - what you need to know This role requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have a valid Working with Children Check, they will be able to apply for the WWCC as part of the initial onboarding procedures. Please note: Visa sponsorship is available for this position. Join Us and unlock your career potential! Is this the perfect opportunity for you? Apply today! Including 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 If you have any questions regarding the recruitment process, please feel free to contact Anna Gradoboeva via email at hr-careers@unimelb.edu.au, ensuring that you include the Position Number and the Job Title as the subject. Please do not share your application to this email address. If you have any particular questions regarding the job please follow the details listed on the Position Description. Applications close: 2 February 2026, 11:00 PM / Melbourne time zone. Position Description:JR-001551 Lecturer Senior Lecturer Associate Professor in Statistics for Omics_PD.pdf

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on a research project where you will be part of the research team to develop yeast and fungi for food ingredient and biochemical production. The specific goals are: Metabolic engineering of Yarrowia and Candida yeasts for organic acid production Design and optimization of fermentation method in 10L and 100L stirred tank vessels Key Responsibilities: Fulfill the primary responsibilities within the project: i. Deliver structured presentations of research plans and findings every two weeks. ii. Provide guidance and mentorship to junior research engineers and undergraduate students working in the same research field. iii. Prepare scientific manuscripts for reporting and potential publication (as first or co-author). Prepare writeup for new research grant application Support undergraduate lab class conduct where applied research outcomes are utilized in undergraduate teaching. Conduct thorough risk assessments and ensure adherence to work, safety, and health regulations for all research activities. Coordinate procurement activities with licensed vendors for research items. Job Requirements: Have a relevant PhD degree in Biochemistry or Biochemical Engineering Have at least 1 year experience with the metabolic engineering of Yarrowia and Candida yeasts, including foreign gene expression and gene deletion. Have at least 1 year experience with the use of bioreactor, HPLC-MS and GC-MS. Prior experience in the genetic manipulation of filamentous fungi cell line engineering is advantageous. Key Competencies Able to build and maintain strong working relationships with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and critical thinking skills Show strong initiative, take ownership of work, and able to cope with failures

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Job Responsibilities Participate in and manage a few research projects with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Accumulate data from Co-PIs for quarterly, annual, or final progress reports• Schedule meetings with co-PIs, collaborators on-site or off-site Update research or project team's activities on social media, website, and record videos when needed. Supporting PI/research team for overseas traveling, meetings, budgeting and collecting photos for reports. Facilitate visiting students or scholars for internal document collection and approval. Collect documents needed for different projects as KPIs. Undertake these responsibilities in the project: i. Lead and support high-quality publications to disseminate the applied research outcomes. ii. Plan, organize, and carry out experiments and trials in the labs to achieve the objectives iii. Manage and complete the project by presenting the findings in conferences or meetings with industrial collaborator, submitting timely data & documents, and purchasing chemicals or consumables. iv. Consolidate the data in order to generate sufficient scientific evidence for meeting slides and reports. v. Engage and communicate with collaborators for progress meetings and report generation to meet the grantor's requirements. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Job requirements Have relevant competence in the areas of project management, organizing documents, and facilitating report drafting. Have a degree in Food Science and Technology, Engineering or Science is a bonus. Some analytical work experience for texture analysis, food formulation and characterization, or publication is a bonus Detail-oriented person, able to communicate with industrial collaborators to share key findings, seek supports, or conduct commercial trials. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.