Key Research Position in Computational Statistics
We are seeking a highly qualified and experienced professional to lead our research program in computational Bayesian statistics and applications. The successful candidate will have a strong track record of research excellence and be able to establish and lead a world-class research program.
About the Role
* Establish and lead a research program in computational Bayesian statistics and applications;
* Contribute to the development of the mathematical sciences at our institution;
* Participate in the Data and Decision Sciences Network;
* Lead a team of researchers and contribute to the growth of the School of Mathematics and Applied Statistics (SMAS).
This is an exciting opportunity for a talented individual to join our institution and make a significant contribution to the field of mathematical sciences. The successful candidate will have the opportunity to work with a team of experts and develop their skills in leadership, research, and collaboration.
Key Responsibilities
* Develop and implement research plans and strategies;
* Supervise and mentor junior researchers;
* Maintain high-quality research outputs and publications;
* Collaborate with colleagues from other disciplines to advance research goals.
Requirements
To be successful in this role, you will need:
* A PhD in mathematics or a related field;
* Strong research experience in computational Bayesian statistics and applications;
* Excellent leadership and communication skills;
* Ability to build and maintain effective working relationships.
What We Offer
We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development. Our institution is committed to fostering a diverse and inclusive environment, and we encourage applications from candidates who can bring new perspectives and ideas to our team.