Postdoctoral Fellow - Professor in MRI

SmartRecruiters, Inc.; Auckland; On-site; NZD 92,000 - 190,000; Full time

Benefits offered by this job

Flexible working hours

Career development programmes

Parental leave allowance

Discounted car parking

Job summary

The University of Auckland is seeking an energetic academic with brain MRI expertise to oversee longitudinal MRI analyses in neonates and children within the Liggins Institute.

The appointee will manage diffusion, structural and functional MRI data, collaborating across a multidisciplinary team of clinicians, researchers and statisticians before contributing to impactful maternal, fetal and child health outcomes.

Qualifications

• Experience with MRI image processing and analysis packages.
• Expertise in diffusion, structural and/or functional MRI methodologies.
• Strong writing, reporting and presentation skills.
• Experience with scripting or programming for image processing workflows.
• Ability to work effectively within multidisciplinary research teams.

Responsibilities

• Oversee longitudinal analysis of MRI studies in neonates and children.
• Ensure collection, storage, processing and analysis of diffusion, structural and functional MRI data.
• Analyze relationships between neonatal variables, development and MRI findings.
• Collaborate with clinicians, researchers and statisticians across institutions.

Skills

MRI processing

Diffusion MRI

Structural MRI

Functional MRI

Programming for image processing

Multidisciplinary teamwork

Tools

MRI analysis packages

Scripting languages (e.g., Python)

Job description

Waipapa Taumata Rau| The University of Auckland

The University of Auckland is New Zealand’s leading University. With over 6000 academic and professional staff supporting over 46,000 students, we are one of NZ’s largest employers. We have six academic faculties, two large-scale research institutes and a number of professional service divisions creating a diverse, dynamic and complex organisational culture that demands excellence.

Our lecturers and researchers are regarded as experts in their fields, frequently directing global research projects designed to better the lives of New Zealanders and the world, and in turn passing this knowledge on to our students.

Job Description

We have an opportunity for an energetic, enthusiastic academic with experience in brain MRI to join a clinical research group at the Liggins Institute, University of Auckland. The successful candidate will be involved in overseeing longitudinal analysis of MRI studies in neonates and children, including MoPED and STAMP.

MoPED is a cohort study in moderate-late preterm babies investigating the relationships between early brain imaging findings and later development. STAMP is a school-age follow-up study of MoPAD plus another moderate-late preterm cohort, including brain MRI and developmental assessment.

The appointee will have day-to-day responsibility for ensuring appropriate collection, storage, processing and analysis of diffusion, structural and functional MRI data in these study cohorts. Analyses will include assessing relationships between neonatal clinical variables, developmental outcomes, and brain MRI findings in the neonatal period and at school age.

This fulltime three-year post will provide an opportunity to work closely with a multidisciplinary team of clinicians, developmental and MRI researchers and statisticians at the Liggins Institute, Auckland, and collaborate with researchers at the University of British Columbia and the University of Toronto. It will be an exciting opportunity for an applicant with a background in brain MRI processing and analysis, ideally in infants and children.

Applicants from postdoc to professor level will be considered. Salary will be on the University of Auckland salary scales depending on experience. This range is $92,213 (postdoctoral fellow) - $190,294 (professor)

You will be a collaborative and motivated researcher who enjoys working across disciplines to improve understanding of infant and child development. You will bring a strong background in MRI processing and analysis, excellent communication skills and the ability to work both independently and as part of a highly regarded research team.

Success in this role will come from your analytical capability, attention to detail, and enthusiasm for research that has real-world impact on maternal, fetal and child health outcomes. You will be comfortable working in a dynamic academic environment, building strong relationships with colleagues and collaborators while contributing to a culture of excellence and innovation.

You will bring:

• Experience with MRI image processing and analysis packages.
• Expertise in diffusion, structural and/or functional MRI methodologies.
• Strong writing, reporting and presentation skills.
• Experience with scripting or programming for image processing workflows.
• Ability to work effectively within multidisciplinary research teams.

The University of Auckland is New Zealand’s leading university and maintains significant computational, laboratory and analytic facilities. Auckland itself is frequently rated as one of the world’s most liveable cities.

The University is committed to providing an excellent working environment through:

• Flexible employment practices (including working from home if feasible, flexible hours)
• Up to 6.75% company superannuation scheme
• A competitive salary with five weeks’ annual leave

In addition, we also offer career development programmes, discounted car parking, a generous parental leave allowance, childcare, and a number of other discounts on internal and external services. For more information, please visit Staff Benefits.

Additional Information

Equity

The University is committed to meeting its obligations under the Treaty of Waitangi and achieving equity outcomes for staff and students in a safe, inclusive, and equitable environment. For further information on services for Māori, Pacific, women, LGBTQIATakatāpu iMVPFAFF+, people with disabilities, parenting support, flexible work and other personal circumstances go to www.equity.auckland.ac.nz