Data science Jobs at Australian Universities

Dates

03 Jun 2024 - Job Opening
15 Jul 2024 - Job Closing

Responsibilities

Under the guidance and support of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals
Contribute to teaching, training, scientific mentoring and supervision of students
Contribute to and publish academic papers and other scholarly outputs to a high academic standard in accordance with the research expectations of the University of Melbourne
Actively participate in research seminars and conferences to disseminate research findings as opportunities arise
Contribute to the preparation, or where appropriate individual preparation of research proposal submissions to internal or external funding bodies as relevant

Requirements

Completion (or near completion) of a PhD in statistics, data science, mathematics, computational biology, or a related discipline
Strong background in statistics, data science, and/or AI/ML
Strong computer programming skills
Experience with Bayesian statistics

Benefits

Salary packaging
Subsidised health and wellbeing services
Fitness and cultural clubs
Myki discounts
25% discount on graduate courses to staff and their immediate families

Notes

Visa sponsorship is available for this position
Working with Children Check is required for the successful candidate

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Dates

Opening Date: 02-Sep-2024
Closing Date: 30-Sep-2024

Location

Callaghan, NSW 2308

Salary

Base Salary: $112,717 - $133,853 plus 17% superannuation

Responsibilities

Develop high quality research and deliver excellent teaching in key areas within the Data Science, Statistics, and Computer Science program areas.
Contribute to the overall research inputs and outputs of the School and College.
Enable the School to excel in higher education teaching and research.
Develop international recognition as an innovator in new Statistical methodologies within the application field of data analysis.
Comfortable with the development of new theoretical advances.

Requirements

A PhD in Data Science, Statistics, or equivalent relevant field.
A strong publication record relative to opportunity.
Ability to be a highly effective teacher in a tertiary environment, preferably with experience in teaching Data Science and Statistics related courses at the University level.
Demonstrated ability to supervise research students at both undergraduate and postgraduate levels.
Demonstrated ability to conduct impactful research to attract both industry and government research funding.
Expertise or experience in the development and delivery of online and blended courses.
Willingness and ability to contribute to outreach activities, governance, organisational administration (including course coordination) and initiative/activities within the University.
Highly developed interpersonal skills including the ability to participate in a team environment demonstrating clear communication and mutual respect.

Benefits

Flexible working arrangements (in line with the University’s Flexible Work Policy).
17% super and salary packaging.
Additional University Holiday days, generous personal leave and parental leave, annual leave loading and additional purchased leave scheme.
Discounts in private health insurance, gym memberships, software, travel and more.
Wellbeing programs.

Notes

As part of the recruitment process, you will be required to formally address each criterion of the Selection Criteria (including desirable criterion) in your application.
Your application must include your ORCID ID (if relevant), a URL link to your University Academic Profile (or equivalent), a Cover Letter, and a CV.

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Dates

Opening Date: Not Available
Closing Date: 29-Sep-2024

Location

Western Sydney University, Parramatta, Penrith (Kingswood) or Campbelltown Campus

Salary

Academic Level A $106,765 to $128,989 p.a. | Includes 17% Superannuation & Leave Loading

Responsibilities

Develop, design, and deliver innovative and engaging teaching materials for tutorials, demonstrations, and workshops.
Inspire and educate students with a creative approach to teaching.
Engage in meaningful research and share insights through publications and presentations.
Contribute to the academic community and build relationships with colleagues.
Lead research initiatives and strengthen industry partnerships.

Requirements

Engaged as a casual academic for at least 2 teaching sessions within the previous 2 years at an Australian Higher Education institution.
Hold or have submitted all requirements for a PhD or other relevant Level 10 AQF qualification.
Have not previously held an ongoing position with an Australian Higher Education provider in the previous 3 years.
Submit evidence of successful teaching results, such as Student Feedback on Teaching survey outcomes.

Benefits

Opportunity to be part of a sector-leading program to strengthen career pathways for casual academic staff.
Training over the confirmation period to support candidates in retaining stable, ongoing employment.
Engagement in a dynamic academic community.

Notes

These are full-time, ongoing positions commencing from January 2025.
Travel to other campuses of the University may be required.
Interviews are likely to be scheduled between Monday 21st October and Thursday 24th October 2024.

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Dates

Opening Date: 27-Aug-2024
Closing Date: 22-Sep-2024

Location

Canberra, Australia | North Sydney, Australia | Brisbane, Australia | Ballarat, Australia | Melbourne, Australia

Salary

Total remuneration valued to $130,436 - $145,816 total rem (pro rata) pa, including salary component $110,220 - $123,227 (pro rata) pa (HEW 8), employer contribution to superannuation and annual leave loading. 17% employer superannuation contributions to eligible continuing and fixed-term staff. Annual leave loading of an equivalent to 17.5% of four weeks' salary pro rata payable, dependent on your commencement date.

Responsibilities

Deliver high level educational data analytics solutions to enhance the quality of ACU's online education offerings.
Provide insights into online student behaviour driven by analysis of internal and external data for the online course offerings at ACU.
Translate analytical findings into practical intervention strategies to enhance the experience and success of online students.
Work closely with internal stakeholders, translating findings from analysis for non-technical audiences.
Provide the data and insights that drive our continual improvement cycle.
Influence operations across the organisation to drive quality student experience, improve retention and establish an evaluation plan for ACU Online offerings.
Leverage Banner (student administration), Canvas LMS (learning and teaching) and Explorance Blue (survey and evaluation) data to generate insights.
Apply data science knowledge and skills within ACU's Microsoft and Oracle driven enterprise data environment (PowerBI, SQL etc.).
Engage with stakeholders about data and analytics requirements, progression of analytics projects, and interpretation of data and reporting products.

Requirements

Understanding of ACU's mission and values and demonstrate an active contribution to them.
Experience in data analytics and the application of data science knowledge.
Ability to communicate effectively with non-technical audiences.
Familiarity with quality assurance frameworks and processes associated with online educational products.
Candidates must hold Australian work rights to apply for this position.

Benefits

Flexible work arrangements.
Study leave and a variety of leave provisions.
Salary packaging options available.
Access to generous benefits as an ACU staff member.

Notes

This position requires a Working with Children Check (WWCC) and/or Working with Vulnerable People Check (WWVP) (ACT only).
ACU does not accept candidate applications submitted by external recruitment agencies through the ACU careers website.

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Dates

Opening Date: Not Available
Closing Date: 11-Oct-2024

Location

Parklands Dr, Southport QLD, Australia

Salary

$33,480 (indexed) annual stipend for a period of up to three years of full-time study. International applicants will also receive a scholarship to cover tuition fees for up to three years.

Responsibilities

Design novel temporal graph mining techniques to compress large-scale networks.
Unify heterogeneous information for anomaly detection.
Explore anomalies in complex interconnections of large-scale, heterogeneous, and dynamic data.
Serve governments and businesses in applications like cyberbullying detection, malicious account detection, and cyber-attack detection.
Collaborate with senior multi-university teams and other doctoral students.

Requirements

Strong empirical skills and interests in dynamic graph data analytics and graph learning model design.
Evidence of a passion for understanding and detecting complex anomalies for AI system development.
Strong desire to undertake research in large-scale, heterogeneous, and temporal graph data learning.
Completed or expected completion of a bachelor's degree with honours equivalent to first class honours or a Masters degree (AQF Level 9) with significant research component.
Existing research training or experience in the analysis of graph data, deep learning, model development, and adaptation.
International applicants must meet English Language Proficiency requirements.

Benefits

Annual stipend of $33,480 (indexed) for up to three years.
International applicants receive a scholarship to cover tuition fees for up to three years.
Opportunity to study at a university ranked among the top 2% worldwide.
Support for professional and personal development of HDR candidates.

Notes

Expressions of interest are welcome from domestic and international applicants.
Applicants must contact s.pan@griffith.edu.au before applying.
Selection interview required for eligible applicants.

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Dates

Opening Date: 26-Sep-2024
Closing Date: 24-Oct-2024

Location

Crawley, Western Australia

Salary

Base salary range: $80,243 – $88,940 p.a. plus 17% superannuation.

Responsibilities

Develop, implement, and use digital and image-based phenotyping platforms in the WA node of the Australian Plant Phenomics Network (APPN) node.
Support Agricultural research by providing access to cutting edge plant phenotyping equipment.
Act as the key contact for researchers, coordinating and supporting data-driven approaches to plant phenotyping and data management.
Responsibilities for both lab and fieldwork, with a strong focus on spectral data acquisition, analysis, and the management of research data in compliance with FAIR principles.

Requirements

Tertiary qualifications and relevant experience in remote sensing, plant science, computer science, or data science.
Considerable relevant research experience at an appropriate level, including experience in agricultural lab work, fieldwork, and data collection.
Expertise in image-based and spectral data analysis, including hyperspectral sensing.
Proven ability to prioritise own workload and to work both independently on routine tasks and as part of a team, escalating issues when needed.
Demonstrated customer service skills and ability to liaise with stakeholders in a culturally diverse environment and to communicate effectively both verbally and in writing.
A current “C” class driver’s licence will be required by the successful applicant. Occasional interstate travel may be required. Occasional travel within the state may be required. Occasional weekend work.

Benefits

Flexible working options considered.
26 weeks paid parental leave after one year and 36 weeks after five years continuous service, regardless of gender.
4 weeks annual leave with the option to purchase more.
13 weeks long service leave after seven years.
Salary packaging options.
17% superannuation, with the option to reduce to the minimum super guarantee.
25% off UWA full fee courses, discounted health insurance, and convenient on-campus childcare options.
Incremental progression based on 12 months continuous service.

Notes

This position is only open to applicants with relevant rights to work in Australia.
To learn more about this opportunity, please contact Nic Taylor at nicolas.taylor@uwa.edu.au.

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Dates

Opening Date: Not Available
Closing Date: 22-Sep-2024

Location

Canberra / ACT, ACT, Australia, 2601

Salary

Salary package: $112,693 - $120,506 per annum, plus 17% superannuation

Responsibilities

Collaborate with cross-functional teams, external project partners and scientific researchers to understand requirements and translate them into technical specifications.
Design and develop scalable, efficient, and maintainable Python code for data analysis and processing.
Contribute to the development and implementation of the Ice-sheet and Sea-level System Model (ISSM) across the ACCESS modelling framework.
Interpret and translate legacy and cross-language code into Python.
Create data visualisation tools and techniques to present complex information in a clear and intuitive manner.
Optimise code performance and reliability through testing, debugging, and refactoring.
Stay up to date with the latest developments in Python, data science, and related technologies.

Requirements

Proven experience (+3 years) in Python code development, with a focus on data analysis and scientific computing.
Strong proficiency in Python libraries such as NumPy, Pandas, SciPy, and Matplotlib.
Experience in MATLAB.
Solid understanding of data structures, algorithms, and software design principles.
Excellent problem-solving skills and attention to detail.
Ability to work independently and collaboratively in a fast-paced environment.
Effective communication skills and the ability to explain technical concepts to non-technical stakeholders.
Commitment to a safe, inclusive and respectful workplace environment.
Passionate about working in an organisation that values and promotes diversity, equity, inclusion and wellbeing.
Master's or PhD in Computer Science, Mathematics, Statistics, Physics, Earth Sciences or related field.

Benefits

Flexible working arrangements to encourage a healthy work/life balance, including consideration of part-time roles and remote work.
Exceptional workplace culture with a supportive, diverse and inclusive team.
Great work location with world-class staff amenities including gyms, swimming pool, childcare centres, etc.
Excellent remuneration and conditions, including 17% superannuation contributions, annual leave loading and a range of benefits.

Notes

The successful applicant must have the right to live and work in Australia.
The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

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Dates

Opening Date: 10-Sep-2024
Closing Date: 01-Oct-2024

Location

Dookie (Goulburn Valley region), Victoria

Salary

Level A – $83,468 - $113,262 p.a plus 17% super

Responsibilities

Contribute to research related to improving Nitrogen use efficiency in Australian grain cropping.
Conduct supervised research aimed at enhancing nitrogen use efficiency in Australian grain cropping.
Assist and participate in research within the project team to deliver project objectives and milestones.
Write milestone reports and peer-reviewed papers.
Liaise with stakeholders and the project research team.
Manage project activities and supervise junior research staff.
Present at project meetings and other events as directed.

Requirements

Completion of a PhD in agricultural science, soil science or related discipline with sound understanding of soil nitrogen cycle.
Demonstrated experience in field crops research with a focus on improving fertiliser use efficiency.
Experience in monitoring greenhouse gas emissions from soil.
Skills in data collation and analysis.
A demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and opportunities.

Benefits

Salary packaging
Subsidised health and wellbeing services
Fitness and cultural clubs
Myki discounts
25% discount on graduate courses for staff and their immediate families
Generous leave provisions

Notes

This role requires that the successful candidate must undergo and maintain an up-to-date Working with Children Check.
Visa sponsorship is not available for this position.

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Dates

Posted 3 Days Ago

Responsibilities

Contribute to teaching and research efforts in disciplines related to field of expertise
Carry out teaching activities within undergraduate, Masters, and Graduate Diploma programs
Maintain and advance scholarly, research, and/or professional capabilities
Promote the program by establishing and maintaining memberships, links, and partnerships with academic, industry, and professional communities
Work collaboratively with fellow academics within the teaching team
Update colleagues and students on developments in subject area or specialization

Requirements

PhD or equivalent relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines
Minimum 3 years of teaching experience in English-speaking universities
Proven teaching proficiency and curriculum development in Artificial Intelligence, Data Science, Java, and Web Programming
Ability to prepare and deliver programs at undergraduate level, including online delivery
Recognized research profile with substantial record of research outputs in high quality journals
Ability to work with external partners, industries, organizations, and communities

Benefits

Competitive salary package and allowances
Generous relocation allowance for expatriate candidates
Educational support for children
Private insurance coverage for staff and family
Annual health checkup
Professional development and career advancement
Access to state-of-the-art facilities and resources
Generous annual leave, career leave, and public holidays
Vibrant and diverse campus life

Notes

English proficiency requirement: IELTS (Academic) with a score of at least 7.0 with no competency less than 6.5
All foreign employees must adhere to the requirements for obtaining a valid visa and work permit in Vietnam

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Dates

Opening Date: 24-Aug-2024
Closing Date: 01-Sep-2024

Responsibilities

Assist the Clinical/Professional Placement Coordinator and the placement team with essential administrative tasks
Manage day-to-day operations of UniClinic including patient welfare, records, bookings, and consulting rooms
Provide support to students and academic staff
Cover reception shifts from 8am to 6pm Monday to Thursday
Support compliance tasks and projects to enhance student placement experience

Requirements

Employment by Western Sydney University on an ongoing, fixed term, or casual basis
Minimum of 12 months’ full-time continuous service for secondment applicants
Organized, detail-oriented, and passionate about making a difference
Availability to cover reception shifts and travel to other campuses when needed

Benefits

Dynamic and rewarding role in a supportive educational environment
Opportunity to make a difference in student placement experience
Supportive team environment
Professional development opportunities
Fixed term position with a competitive salary package

Notes

Position based at Campbelltown campus with potential travel to other campuses
Applications only accepted via the WSU online recruitment system
Candidates must provide evidence of working rights in Australia at the time of application

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Dates

Posted 3 Days Ago

Responsibilities

Contribute to teaching and research efforts in disciplines related to field of expertise
Carry out teaching activities within undergraduate, Masters, and Graduate Diploma programs
Maintain and advance scholarly, research, and/or professional capabilities
Promote the program by establishing and maintaining memberships, links, and partnerships with academic, industry, and professional communities
Work collaboratively with fellow academics within the teaching team
Update colleagues and students on developments in subject area or specialization

Requirements

PhD or equivalent relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines
Minimum 3 years of teaching experience in English-speaking universities
Proven teaching proficiency and curriculum development in Artificial Intelligence, Data Science, Java, and Web Programming
Ability to prepare and deliver programs at undergraduate level, including online delivery
Recognized research profile with substantial record of research outputs in high quality journals
Ability to work effectively with students and negotiate sensitively on issues related to effective learning
English proficiency with IELTS score of at least 7.0

Benefits

Competitive salary package and allowances
Generous relocation allowance for expatriate candidates
Educational support for children
Private insurance coverage for staff and family
Annual health checkup
Professional development and career advancement
Access to state-of-the-art facilities and resources
Vibrant and diverse campus life

Notes

RMIT University Commitment to student and staff safety and respect
RMIT Vietnam's commitment to excellence, innovation, and social responsibility
Generous annual leave, career leave, and public holidays
HR Asia Award as Top Employer To Work For in Asia

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Dates

Opening Date: 19-Sep-2024
Closing Date: 17-Oct-2024

Location

Hanoi

Salary

Competitive salary package and allowances. Expatriate candidates: Generous relocation allowance. Educational support up to US$20,000 per child annually, up to 2 children per family; private insurance coverage for staff and family; annual health checkup; Work Permit for staff, Visa and temporary resident cards for family members. Local candidates: 13th month Tet bonus + private medical insurance (for you and your dependents) + annual health check.

Responsibilities

Contribute to the teaching and research efforts of the University in disciplines related to their field of expertise.
Carry out teaching activities within undergraduate, Masters and Graduate Diploma programs.
Maintain and advance scholarly, research and/or professional capabilities.
Promote the program by establishing and maintaining memberships, links and partnerships with academic, industry and professional communities.
Work collaboratively and collegially with fellow academics within the teaching team.
Update colleagues and students on developments in their subject area or specialisation.
Undertake independent teaching undergraduate level courses in the Bachelor of Information Technology program.
Write course materials; teach lecture, lab, and tutorial sessions; help students; design, conduct, and grade assessments; implement improvements informed by course evaluation activities and student feedback.
Undertake administration duties, which may include course coordination role.
Adhere to the requirements of the Academic Expectations and Development Framework of RMIT Vietnam.

Requirements

PhD or equivalent relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines.
Minimum 3 years of teaching experience in English-speaking universities.
Proven teaching proficiency and curriculum development in Artificial Intelligence and/or Data Science and Java and/or Web (HTML/CSS/JavaScript) Programming.
Demonstrated ability to prepare and deliver programs at undergraduate level, including online delivery, and the ability to produce high quality curriculum or program materials.
Ability to undertake course coordination role.
Demonstrated capacity to work effectively with and to negotiate sensitively with students especially on issues related to effective learning.
Recent and sustained performance regarding student outcomes, student experience and feedback; combined with experience and skill in a range of teaching settings.
Recognised research profile including substantial record of research outputs in high quality journals.
Ability to operate within own discipline and cross-disciplinary/multidisciplinary teams to achieve department and University strategic outcomes.
Ability to work with external partners, industries, organisations, and communities and can operate effectively to address complex issues or seek opportunities.

Benefits

Generous annual leave, career leave and public holidays (Christmas and Tet Holidays).
Professional development and career advancement.
Access to state-of-the-art facilities and resources.
A vibrant and diverse campus life.

Notes

English is the language of teaching and communication at RMIT Vietnam. For this role, the minimum requirement is IELTS (Academic) with a score of at least 7.0 with no competency less than 6.5 (or equivalent).
All foreign employees must adhere to the requirements for obtaining a valid visa and work permit in Vietnam.

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Dates

Opening Date: 24-Sep-2024
Closing Date: 07-Oct-2024

Location

UQ Campus - St Lucia

Salary

Base salary will be in the range of $110,365.29 - $130,765.78 + 17% Superannuation (Academic Level B)

Responsibilities

Establish a research program
Collaborate on research projects
Seek and manage research funding
Publish in reputable journals
Utilize best practice research methodologies
Participate in project discussions
Supervise students
Recruit and manage employees
Provide performance feedback and training
Resolve conflicts
Ensure correct remuneration and benefits
Develop partnerships
Demonstrate leadership through mentoring
Engage in internal service roles and committees
Perform administrative functions
Provide support to colleagues
Uphold university values

Requirements

PhD in the area of biological or ecological modelling (or related field)
Demonstrated ability to develop and/or apply size-spectrum ecosystem models, particularly in mizer
Proven ability to undertake modelling, data analysis and spatial/temporal statistical techniques within R (preferred), MATLAB, Python or equivalent programming language
Demonstrated track record of publishing original research in peer-review journals
Knowledge of oceanography, ecology and fisheries (desirable)
Familiarity with large observational datasets, and associated quality control and management (desirable)
Experience working with climate projection datasets from CMIP Earth System Models (desirable)

Benefits

Access to world-class facilities and equipment
Grant writing support
Greater research funding opportunities
Up to 26 weeks of paid parental leave
17.5% annual leave loading
Flexible working arrangements including hybrid on site/WFH options
Flexible start/finish times
Genuine career progression opportunities via the academic promotions process

Notes

Relocating from interstate or overseas? We will support you with the visa sponsorship process and a relocation support package.
The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia and education check.
Work Rights: You must maintain unrestricted work rights in Australia for the duration of this appointment to apply.

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Dates

Opening date: 05-06-2024
Closing date: 19-06-2024

Responsibilities

Provide technical and research assistance to senior research staff in activities associated with various research projects
Contribute and apply knowledge in the field of data and phylogenetic analyses for projects within the Asia and Pacific Health Program at The Kirby Institute UNSW

Requirements

A university degree in medical science, statistics or related discipline, or an equivalent level of knowledge gained through a combination of education, training, or experience
Experience in HIV or infectious diseases research support, data collection, biostatistical analysis and phylogenetic studies
Knowledge of research protocols, experimental design and planning as involved in developing research projects and reporting against milestones
Experience working with a range of computer systems and applications, including Microsoft Office suite (Word, Excel), Teams and biostatistical packages such as STATA or SPSS
Demonstrated superior interpersonal communication skills to initiate and maintain effective stakeholder relationships whilst exercising discretion and confidentiality
Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative
Excellent written and verbal communication skills, with a high level of attention to detail and the ability to liaise effectively with a range of stakeholders
Demonstrated ability to work collaboratively and productively within a team, but also to take initiative and work independently while managing competing demands

Benefits

17% Superannuation and leave loading
Flexible working
Additional 3 days of leave over the Christmas Period
Access to lifelong learning and career development
Progressive HR practices

Notes

Part-time (20 hours per week)
12 month fixed term contract (possibility of extension)
Location: Kensington, NSW (Hybrid working, work from home and from UNSW Sydney campus)
The role reports to the Associate Professor and ACTUP Project Managers, supporting the Asia and Pacific Health Program and has no direct reports
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment
We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities
UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff

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Dates

Tuesday 18th June 2024 - Closing Date

Responsibilities

The Senior Research Fellow will have the opportunity to lead statistical analyses of large-scale administrative datasets examining inequalities in evidence-based care for cancer.
The research will involve data linkages of Australian Census and other Commonwealth health datasets to NSW health data.

Requirements

A PhD in data science or cancer epidemiology, and/or relevant work experience.
Proven commitment to proactively keeping up to date with research aimed at reducing health system inequalities.
Proven track record with high impact publications within biostatics, health services research or other related field, as first and/or senior author including in the last 3 years.

Benefits

Career development opportunities
17% Superannuation contributions and additional leave loading payments
Additional 3 days of leave over Christmas period
Discounts and entitlements (retail, education, fitness)

Notes

Employment Type: Full time; 35 hours per week
Duration: 2 years Fixed Term
Specific Pre-Employment Checks Required: Criminal Records Check, Qualifications Check
Benefits and Culture: People are at the core of everything we do. We recognise it is the contributions of our staff who make UNSW one of the best universities in Australia and the world.

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Dates

Posted 10 Days Ago

Responsibilities

liaise with project partners and stakeholders
use mechanistic modelling to spatialise crop yield predictions under a variety of data input scenarios
use data-driven models and machine learning to better understand the spatio-temporal impact of soil properties, weather, management, and residual herbicides on crops
publish research in peer reviewed publications
help manage the project to ensure the delivery of project milestones

Requirements

a PhD (or near completion) in precision agriculture, crop modelling, remote sensing, computer science or other quantitative disciplines
expertise in data-centric languages such as R and/or Python
expertise in analysis of spatial data such as remote sensing, and/or ‘on-farm’ data such as yield maps
preferred expertise in mechanistic modelling such as crop simulation models (e.g. APSIM, DSSAT), or other agriculture-related simulation models (e.g. soil carbon models such as Roth-C)
preferred expertise in machine learning/AI and/or statistical modelling
a track record of publications in peer-reviewed journals
experience in liaising with industry stakeholders/farmers and managing projects involving multiple people and/or organisations

Benefits

Full time, 3 years fixed term opportunity
Opportunity to join a successful and innovative team in agricultural modelling/precision agriculture

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Dates

17 Days Ago - Job Posted

Responsibilities

- Make a strong contribution to research and teaching at both undergraduate and postgraduate levels.
- Proactively contribute to enhancing the Department's reputation with external audiences.

Requirements

- PhD in business analytics, information systems, applied data science, or related field.
- Record of quality research publications in relevant fields.
- Experience with Python, SQL, data visualization tools, etc.
- Ability to develop new approaches to teaching in business analytics and data science.

Benefits

- Salary package with superannuation and annual leave loading.
- Full-time, continuing appointment.
- Opportunity for engagement with wider community for teaching and research outcomes.

Notes

- Visa arrangements can be made for successful international candidates.

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Dates

October 2024
20-Jun-2024

Responsibilities

Develop statistical methodology for contemporary and application-driven challenges in high-dimensional Bayesian statistics
Contribute to the supervision of an associated doctoral research studentship
Conduct research in statistical methodology and statistical computing within the initiative

Requirements

Track record of high-quality research in statistical methodology, focusing on areas of Bayesian computations
Experience in effective Bayesian computational strategies such as Markov Chain Monte Carlo and Sequential Monte Carlo for high-dimensional statistical models

Benefits

Fixed Term, Full Time Appointment (2 years)
Level A salary with superannuation benefits

Notes

The post complements the expansion in Statistics research through the appointment of the TIBRA Foundation Chair in Mathematical Sciences
Join the University’s flagship research intensive institute in statistics, the National Institute for Applied Statistics Research Australia (NIASRA)

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Dates

Opening Date: 16-Sep-2024
Closing Date: 20-10-2024

Location

Wallumattagal Campus, North Ryde

Salary

From $106,089 (Level A, Step 6) to $141,790 (Level B, Step 6) per annum, plus 17% employer superannuation.

Responsibilities

Developing model visualisation methods to enable interactive and dynamic model building
Robust selection and estimation in regression type models
Variable selection and inference for statistically challenging data, including for longitudinal, clustered and correlated univariate and multivariate responses
Investigating theoretical properties of regularization methods in various asymptotic scenarios and improving these methods by learning from resampling-based stability information
Classification and improved prediction methods for multiplatform data
Devising statistical methods for the analysis of multi-layered and structured data in bioinformatics, microbiome and neuroscience applications.

Requirements

PhD awarded or submitted, in statistical modelling or a closely related area in statistics, data science, engineering or mathematics (for Level A)
PhD in statistical modelling or a closely related area in statistics, data science, engineering or mathematics (for Level B)
Demonstrated ability to publish in the scientific literature
Ability to support the Head of School's research program
Ability to assist supervising postgraduate students
Ability to work independently and collaboratively
Experience of presenting research results at seminars and/or scientific meetings
Strong written and oral communication skills
Advanced computing skills including in programming in R (for Level A)
Demonstrated research ability that supports the Head of Department's research interests (for Level B)
A strong record of research achievements as evidenced by high quality publications (for Level B)
Ability to supervise postgraduate students (for Level B)
Strong computing skills including in programming in R (for Level B)

Benefits

Full-time, 2 years, fixed term
Opportunity to work with leading academics and researchers
Build academic networks
Flexible work arrangements
17% employer superannuation

Notes

Enquiries: Professor Samuel Muller via email samuel.muller@mq.edu.au
If you're already part of the Macquarie Group, you'll need to apply through your employee Workday account.

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Dates

Opening Date: 05-Sep-2024
Closing Date: 15-Sep-2024

Location

Melbourne, CBD campus

Salary

Salary Academic Level A ($76,880 - $104,280) + 17% Superannuation

Responsibilities

Literature review of scholarly literature, grey literature and policy documents, including regulatory system, policies, best practices, available technologies
Develop survey and interview questions, for relevant stakeholders and practitioners (builders, architects, fire agencies, insurance providers), conduct interviews and analyse that data to establish their attitudes towards risks, technical factors, procedures, and solutions for bushfire-adaptive homes. Potential follow up interview of the practitioners.
Writing for publication, journal papers or conference presentations and reports, as well as undertaking administration related to the position.

Requirements

Evidence of being familiar with or worked with social science research methods, socio-ecological-economic-technical-systems understanding, knowledge co-production, DELPHI method optional but would be beneficial.
Evidence of research output including publications, conference contributions and/or technical reports in the field.
Ability to work autonomously and project manage, whilst displaying a strong commitment to work in a team environment. This includes the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners, as well as demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required.
Demonstrated high level written and verbal communication skills.
Mandatory: Qualification in the relevant discipline area and have commenced or near completion of their PhD in relevant field.

Benefits

Flexible Working Arrangements

Notes

Appointment to this position is subject to passing a Working with Children and National Police Check.

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