Lecturer or Senior Lecturer, Mathematics and/or Statistics @Bendigo

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Reference: Job No.:564040
Work type: Continuing
Location: LaTrobe University, Bendigo Campus — Department of Mathematics and Statistics
Remuneration: Level B: $100,480-$118,659 plus 17% superannuation or Level C: $122,297-$ 140,478 plus 17% superannuation
Closing Date: 11:55pm Sunday, 23 April 2023

About the position

The Department of Mathematical and Physical Sciences is comprised of active teaching and research staff across the broad disciplines of applied mathematics, pure mathematics, statistics, and physics. The department offers undergraduate majors in mathematics, statistics, data science, and physics, and provides many important subjects that are undertaken by students from a diverse range of courses and disciplinary backgrounds (eg. engineering, life sciences, education). Both the school and department foster collaborative projects across disciplines. We are therefore seeking, at either levels B or C, a mathematics/statistics academic or data scientist to contribute to the teaching of our undergraduate subjects in mathematics and statistics and Master of Data Science Online. A Level B or Level C teaching and research academic is expected to contribute to the discipline at the national level. They will develop curriculum, teach and undertake research or other scholarly work relevant to the development of their discipline or professional field.

Skills and Experience

To be considered for this position, you will have:
• Completion of a PhD or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant discipline area.
• Demonstrated effectiveness in curriculum development and teaching with a commitment to excellence in teaching.
• Demonstrated capacity to provide leadership at course/program/research group or similar level.
• Proven ability to mentor and supervise undergraduate, honour and postgraduate students.
• Strong record of research publication, with appropriate evidence of quality and impact.
• Demonstrated record of achievement as a leading practitioner with a reputation for skills, knowledge and expertise at a state/national level.
•¨Success in obtaining research funding from grants/contracts/consultancies.
• Demonstrated ability to work as a member of a team in a co-operative and collegial manner.
Overseas applications are being accepted

Please refer to the Position Description (found here) for other duties, skills and experience required for this position.

Further details: https://careers.pageuppeople.com/533/caw/en/job/564040/lecturer-or-senior-lecturer-mathematics-andor-statistics

How to apply

Position Enquiries: Narelle Brack Hiring Manager via email n.brack@latrobe.edu.au

Recruitment Enquiries: Vicki Stavrou, Senior Talent Acquisition Business Partner, Email v.stavrou@latrobe.edu.au, Phone 03 9479 5191

Please submit an online application ONLY and include the following documents:
• Cover letter;
• an up-to-date resume; and
• a separate document addressing each essential and desirable bullet point in the Key Selection Criteria which is located in the position description.

All La Trobe University employees are bound by the Working with Children Act 2005. If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.

Research Associate/Fellow in Optimisation and Operations Research @Curtin

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Closing date: 27 March 2023
Campus: Curtin University, Perth; Curtin Centre for Optimisation and Decision Science
Remuneration: $91,431 – $103,101 (ALA6–ALB1) per annum, plus 17% superannuation
Status: Fixed-term full-time research position (4 years)
Reference: 1031287

The Curtin Centre for Optimisation and Decision Science conducts high-quality inter-disciplinary research focused on data-driven optimisation for real-world applications. The Centre was established in January 2022 and it currently includes 16 full-time staff whose expertise spans operations research, process control, computational modelling, and data science. The Centre works with industry and government partners to develop cutting-edge optimisation technology for solving complex planning and decision problems in the mining, agriculture, energy, and defence sectors. Current areas of focus include maintenance planning and scheduling, rostering optimisation, detecting misinformation in online social networks, and optimising chemical production processes.

Your new role

An exciting opportunity exists for a postdoctoral researcher to join our Centre on a 4-year appointment, with the possibility of extension. You will be provided with career development and mentoring opportunities as part of a young, dynamic group in optimisation. Come join us and help build an exciting future for the new Curtin Centre for Optimisation and Decision Science.

In this role you will:

• Conduct high-quality research in optimisation and operations research with other members of the centre.
• Take the lead in publishing joint articles in top international journals.
• Participate in collaborative projects with industry and government partners.
• Supervise honours and PhD students and teach at undergraduate or graduate level.

To learn more about this opportunity, please contact Professor Ryan Loxton, Director, Curtin Centre for Optimisation and Decision Science, r.loxton@curtin.edu.au.

To apply

Please provide a cover letter, your CV and separate document addressing the selection criteria (noted below) to allow us to assess your suitability for this role.

Please visit link below to apply for the role: http://staff.curtin.edu.au/job-vacancies/?ja-job=662309

Selection criteria

• A doctoral qualification in applied mathematics, industrial engineering, or related area
• A track record of publications in high-quality international journals in operations research
• A strong theoretical background in integer programming and discrete optimisation
• Excellent computing skills and experience working with relevant programming languages and platforms – for example, Python, Java, Julia, CPLEX, and Gurobi
• Interest in applied research, consulting, and research commercialisation

If you have a query in relation to the application process, please contact our careers team on curtincareers@curtin.edu.au.

To view a copy of the Academic Role Statement, please copy and paste the following link into your web browser: https://cloudstor.aarnet.edu.au/plus/s/eaUMg3m0nPDAtrI

Learning Success Advisor @Sydney

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Location: School of Mathematics and Statistics, The University of Sydney, Camperdown Campus
Employment Type: Full time until 22 December 2023
Duration: fixed term
Remuneration: Base Salary $100,032–$108,979 + 17% superannuation
Closing Date: 11.59pm; 20 March 2023

• Exciting opportunity to facilitate and deliver mathematics and statistics learning support for students at the University
• 2x Full-time, fixed term until 22nd December 2023

About the opportunity

As a Learning Success Adviser (Mathematics), you will help develop, deliver, and evaluate mathematics and statistics learning support initiatives for all students at the University.

As a subject matter specialist, you will collaborate in the development and implementation of learning support initiatives, including student-centred learning design, personalised and adaptive support offerings, through a variety of delivery modes such as face to face, online, blended, hybrid and peer-facilitated.

Your key responsibilities will be to:

• work within a dynamic team, reporting to the Learning Hub Lead
• deliver learning support & training activities to students, peer-facilitators, & staff for up to 20 hours a week
• work collaboratively with the Learning Hub Lead and team of Learning Success Advisors, Educational Designer, and colleagues across CET + Learning Hub
• contribute to and engage actively with the mathematics and statistics learning community beyond the University to further the reputation of the University in the field
• provide specialist guidance and support to relevant stakeholders in the library, relevant faculties, Educational Innovation, Student Life, and the wider Education Portfolio
• help students to develop their confidence in mathematics and statistical skills, enhancing their experience and supporting fuller participation and success in relevant units of study.

About you

• post graduate qualifications and/or relevant work experience in a related field
• a strong background and experience in tertiary mathematics and/or statistics
• experience in teaching and learning in a tertiary environment, with an emphasis on settings relevant to mathematics and statistics support
• experience in developing and facilitating high-quality, innovative programs to support mathematics and statistics learning in a higher education environment
• experience using learning analytics to inform learning design, support student progress and monitor student outcomes
• experience using innovative educational technology platforms to facilitate mathematics and statistics support to diverse cohorts of students
• theoretical and practical understanding of effective educational practice in the post-entry, higher education space, including the use of educational technologies.

This will be a continuing appointment. The successful candidate will be offered a competitive remuneration package commensurate with the responsibilities of the position and the candidate’s relevant experience and qualifications.

Other

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Sponsorship / work rights for Australia

Please note: Visa sponsorship is not available for this position. For a continuing position, you must be an Australian or New Zealand citizen or an Australian Permanent Resident.
Australian Temporary Residents currently employed at the University of Sydney may be considered for a fixed term contract for the length of their visa, depending on the requirements of the hiring area and the position.

Pre-employment checks

Your employment is conditional upon the completion of all roles required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

This position is designated as involving child-related work. To undertake or remain in this position, you are required to apply for and obtain a Working with Children Check clearance in accordance with the Child Protection (Working with Children) Act 2012.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Apply via this link: https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Darlington-Campus/Learning-Success-Advisor–Mathematics-_0101673-3

For a confidential discussion about the role, or if you require reasonable adjustment, or any documents in alternate formats, please contact Kale Claffey, Recruitment Operations by email to kale.claffey@sydney.edu.au.

© The University of Sydney

The University reserves the right not to proceed with any appointment.