About The Position

An opportunity is open to a suitable applicant to conduct a fully funded, full-time PhD within the GPCR EcoPharmacology Lab, Monash Institute of Pharmaceutical Sciences (MIPS), Monash University. The successful applicant will generate high-impact research by applying state-of-the-art deep learning, molecular modelling, and GPCR pharmacology to accelerate drug discovery for dementia treatment in postmenopausal women. The candidate will work within a multidisciplinary team comprising experts in GPCR biology, computational pharmacology, artificial intelligence, and neurovascular in vivo models. The applicant will have access to a unique research environment at MIPS – one of the world’s leading centres in GPCR drug discovery – along with cutting-edge computational resources, AI platforms, and established collaborations in cardiovascular and neurovascular disease. Be inspired, every day Drive your own learning at one of the world's top 80 universities Take your career in exciting, rewarding directions The successful applicant will be enrolled at Monash University and spend the majority of the time at the Monash Institute of Pharmaceutical Sciences under the supervision of Dr Anh TN Nguyen, ARC DECRA Fellow, Monash Institute of Pharmaceutical Sciences. The Project Project Title: Deep learning approaches to G protein-coupled estrogen receptor (GPER) targeted drug discovery. Supervisory Team: Dr Anh TN Nguyen; Prof Chris Sobey

Requirements

  • A First-Class Honours degree, or High Second-Class Masters degree or equivalent in the health-related field.
  • Strong quantitative research skills.
  • An understanding of quantitative research methodology and data analysis.
  • Evidence of research experience.
  • Excellent time management skills and ability to work independently.
  • Fluency in written and oral English.

Nice To Haves

  • Applicants with publications will be highly regarded.

Benefits

  • Scholarship awards provide a stipend of AUD$35,000 per annum (tax-free).
  • Additional support will be available for computing/conference attendance.
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