Job No.: 647132
Location: Clayton campus, Monash University
Employment Type: Full-time
Duration: 2-year fixed-term appointment
Remuneration: $75,115–$101,944 p.a. Level A (plus 17% employer superannuation)
Closing Date: Friday 31 March 2023, 11:55 pm AEDT
The School of Mathematics at Monash University invites applicants for the position of Research Fellow to work on a project in Scientific Computing and Numerical Analysis (polytopal methods).
The successful candidate will work under the guidance of Professors Jérôme Droniou and Santiago Badia on the ARC-funded project “Interface-aware numerical methods for stochastic inverse problems”. The role includes the design and analysis of hybrid high-order schemes for partial differential equations with interfaces. The methods will rely on polytopal meshes obtained from adaptive tree-based unfitted meshes. The research also includes optimal and scalable parallel multilevel solvers for the discrete systems arising from hybrid approximations. The role will possibly include the combination of these tools with multilevel Monte Carlo methods and its application to stochastic inverse problems in subsurface modelling.
Applicants must have a PhD in Mathematics or a related field, with a strong background in numerical methods for partial differential equations.
Monash University is an equal opportunity/affirmative action employer with a strong institutional commitment to excellence and diversity, and the Research Fellow will be well integrated into a highly supportive and dynamic research environment that has a strong history of research excellence and collaboration with researchers locally and internationally.
Diversity is one of our greatest strengths at Monash. We encourage applications from First Nations people, culturally and linguistically diverse people, people with disabilities, neurodiverse people, and people of all genders, sexualities, and age groups.
Monash avidly supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments more easily.
This role is a full-time position; however, flexible working arrangements may be negotiated.
At Monash University, we are committed to being a Child Safe organisation. This position at the University will require the incumbent to hold a valid Working with Children Check.
Your application must address the selection criteria. Please refer to “How to apply for Monash Jobs”.
Applications must be made via the Monash website: see here.
