Bayesian Inference Postdoctoral Fellow

Bayesian Inference Postdoctoral Fellow

Full-Time 31650 - 43607 Β£ / year (est.) No working from home possible
UNSW

At a Glance

  • Tasks: Conduct research in Bayesian inference and computation while mentoring students.
  • Company: UNSW, a leading university in Sydney with a focus on innovation.
  • Benefits: Competitive salary, benefits, and opportunities for high-quality publications.
  • Other info: Fixed-term position with excellent career development prospects.
  • Why this job: Join a vibrant research community and make significant contributions to the field.
  • Qualifications: PhD in Bayesian statistics with a strong publication record required.

The predicted salary is between 31650 - 43607 Β£ per year.

UNSW seeks a Postdoctoral Fellow in Mathematics & Statistics for a full-time role in Sydney, NSW. The position involves engaging in research in Bayesian inference and computation, contributing to high-quality publications, and mentoring students.

Ideal candidates will hold a PhD in Bayesian statistics and have a strong publication record. They will also demonstrate high-level communication and collaboration skills.

This is a fixed-term position offering a competitive salary and benefits.

Bayesian Inference Postdoctoral Fellow employer: UNSW

UNSW is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the heart of Sydney. As a Postdoctoral Fellow, you will have access to extensive professional development opportunities, competitive salaries, and the chance to contribute to impactful research while mentoring the next generation of statisticians. Join us to be part of a community that values academic excellence and supports your growth in a dynamic environment.

UNSW

Contact Details:

UNSW Recruitment Team

We think you need these skills to ace Bayesian Inference Postdoctoral Fellow

Bayesian Inference
Bayesian Statistics
Research Skills
Publication Skills
Mentoring
High-Level Communication Skills
Collaboration Skills