Postdoctoral Research Fellow in Auditory Signal Processing
Macquarie University (Sydney, Australia) Macquarie University, Wallumattagal Campus, North Ryde
Dates
- Opening Date: 13-Sep-2024
- Closing Date: 29-Sep-2024
Location
- Macquarie University, Wallumattagal Campus, North Ryde
Salary
- From $106,089 - $113,697 (Level A, Step 6 to Step 8), plus 17% employer superannuation and annual leave loading.
Responsibilities
- Lead the development of a low-cost hearing screening device funded by the Cochlear-Macquarie University Joint Fund
- Collaborate with leading researchers in hearing science, Cochlear, and mathematicians
- Contribute to the development of signal processing and machine learning-based methods to optimize the screening test
- Support the research group in developing the next generation of low-cost hearing screening devices
- Contribute to other funded projects and help towards implementation of the developed software in hardware devices
Requirements
- Hold a PhD in signal processing, machine learning, or a related field such as neuroscience
- Experience in signal processing and machine learning
- Effective communicator, able to work independently and as part of a team
- Advanced programming skills
- Strong research skills including planning and conducting experiments
- Ability to work collaboratively with a diverse team
- Strong organizational skills with a track record of independent and team-based work
Benefits
- Opportunities for significant research, networking, and mentoring within a supportive research environment
- Access to state-of-the-art research facilities
- Opportunities to work with PhD, Masters, and undergraduate students
- Full-time, fixed-term position for 3 years
Notes
Postdoctoral Research Fellow in Auditory Signal Processing
Macquarie University (Sydney, Australia) Macquarie University, Wallumattagal Campus, North Ryde
Dates
- Opening Date: 25-Sep-2024
- Closing Date: 27-Oct-2024
Location
- Macquarie University, Wallumattagal Campus, North Ryde
Salary
- From $106,089 - $113,697 (Level A, Step 6 to Step 8), plus 17% employer superannuation and annual leave loading.
Responsibilities
- Lead the development of a low-cost hearing screening device funded by the Cochlear-Macquarie University Joint Fund
- Collaborate with leading researchers in hearing science, Cochlear, and mathematicians
- Contribute to the development of signal processing and machine learning-based methods to optimize the screening test
- Support the research group in developing the next generation of low-cost hearing screening devices
- Contribute to other funded projects and help towards implementation of the developed software in hardware devices
Requirements
- Hold a PhD in signal processing, machine learning, or a related field such as neuroscience
- Experience in signal processing and machine learning
- Effective communicator, able to work independently and as part of a team
- Keen eye for detail, ensuring high accuracy and data quality
- Possess advanced programming skills
Benefits
- Access to an active Early Career Researcher support network and professional development opportunities
- Work in state-of-the-art research facilities
- Significant research, networking, and mentoring opportunities within a highly experienced and supportive research environment
- Opportunities to work with several PhD, Masters, and undergraduate students
Notes
Senior Research Associate/Senior Research Fellow– Neuroimaging
The University of New South Wales (UNSW Sydney) Sydney, NSW
Dates
- Opening Date: 26-Sep-2024
- Closing Date: 04-Nov-2024
Location
- Sydney, NSW
Salary
- Not Available
Responsibilities
- Support Role: Primarily supports the Imaging Facility Director and the RINSW team, as well as facility users, by conducting project-related research and analyses.
- Collaboration: Strong commitment to engaging in collaborative research in a core facility environment under limited supervision. Collaborates with investigators and RINSW staff to operationalize research hypotheses.
- Research Focus: Develops research expertise in advanced imaging processing relevant to the facility’s ongoing research projects. Develops and evaluates imaging processing strategies & pipelines and analyses project data.
- Supervision: Conducts research/scholarly activities under limited supervision and develops a collaborative research profile.
- Mentorship: Co-mentors and guides students and colleagues, contributing to the next generation of academics through supervision and training of Higher Degree by Research (HDR) students.
- Funding Applications: Contributes to the development of applications for equipment or other competitive funding under the guidance of senior colleagues.
- Support & Leadership Role: Expected to make original contributions to the research efforts and infrastructure at RINSW and those of their research partners, thereby working closely with the Facility Director.
- Collaboration: Develops research collaborations both within UNSW and externally, providing research support to researchers accessing RINSW.
- Research Focus: Plays a major role in developing post-processing strategies for respective projects and may lead components of the collaborative research, including data analyses. Develops and implements AI/DL methods for image and data analyses and analytics for suitable imaging facility projects and delivers solutions of AI, ML, and DL for e.g., multi-dimensional and/or multi-modal data.
- Supervision: Conducts research/scholarly activities with a higher degree of independence and develops a nationally recognized research track record and reputation for the facility.
- Mentorship: (Co-)mentors and guides students, research groups, and colleagues; (co-)supervises and trains HDRs, and contributes to HDR review panels if possible.
- Peer Recognition & Funding Applications: Works closely with the Facility Director and takes a significant role in the development and delivery of collaborative high-quality publications, the facility’s Research Equipment and Infrastructure Grant applications and business plans, and/or collaborative grant applications. Establishes research networks at the national level.
Requirements
- PhD in a related discipline
- Strong analytical skills
- Commitment to engaging in collaborative research in a core facility environment
- Track record in high-quality, high-impact research (first-authored publications in peer-reviewed journals)
- Strong quantitative data analysis in signal processing, and scientific programming (e.g., MATLAB, Python, C/C++)
- Research experience in medical image analysis and processing, particularly neuroimaging data (e.g., fMRI, DTI, MRS) and familiarity with specific software packages/pipelines (e.g., Bash, FSL, Neurodesk, Freesurfer, MRtrix, AFNI, R, MATLAB, SPM)
- Significant involvement with the profession and/or industry
- High-level communication skills and the ability to network effectively with a diverse range of students, staff, and facility clients
- Demonstrated teamwork, interdisciplinary collaboration, and relationship-building skills
- Highly developed interpersonal and organisational skills
- An understanding of and commitment to UNSW’s aims, objectives, values, and relevant policies
- Knowledge of and commitment to health and safety responsibilities
Benefits
- Flexible working
- Additional 3 days of leave over the Christmas Period
- Access to lifelong learning and career development
- Progressive HR practices
- Discounts and entitlements
- Affordable on-campus parking
Notes