We are looking for high quality candidates for a PhD position to work with us at School of Behavioral and Health Sciences, Faculty of Health Sciences in Melbourne, Australia at the Australian Catholic University (ACU).
More details are provided below. Please widely forward to possibly interested candidates.
The primary project supervisor is Valentina Lorenzetti ([email protected]
see ResearchGate profile https://www.researchgate.net/profile/Valentina_Lorenzetti
& Scholar https://scholar.google.com.au/citations?user=0UsOn-QAAAAJ&hl=en
The PhD student will work with and have access to a multidisciplinary team with high-level expertise in neuroimaging, engineering, data modeling, neuroscience, addiction and mental health and genetics. You will have opportunities of training in the required neuroimaging methods in high-quality national/international research centres.
YOUR PHD TASKS/RESPONSIBILITIES
Your PhD will focus on
· Mapping the neural correlates of reward processing in cannabis users compared to controls using fMRI, and their changes pre-to-post a mindfulness based intervention compared to a matched relaxation intervention and no intervention;
- Collect fMRI, cognitive and mental health data from participants.
· Disseminate study results via publication in high quality neuroscientific journals.
· Complete a PhD thesis.
The PhD post will be affiliated with School of Behavioral and Health Sciences, at the ACU. The student will work with and have access to a multidisciplinary team with high-level expertise in neuroimaging, neuroscience, addiction and mental health. There will have opportunities of training in high-level neuroimaging methods in specialised research centres.
- Highly motivated, with a strong interest in addiction, psychopathology and neurodevelopment;
- Excellent English written and verbal communications skills;
- Experience with statistical and computer programming skills (e.g., scripting, Matlab, LINUX).
- Experience in psychological and cognitive testing;
- Experience in neuroimaging / biostatistics data analysis;
- Experience in writing publications in peer reviewed scientific journals; and
- A numerate background – e.g., a Master’s degree in computer science, mathematics, engineering, medical image analysis or related discipline.