Three Lecturer positions in Mathematics and Statistical Science
The School of Mathematics and Applied Statistics, situated in the Faculty of Engineering and Information Sciences (EIS), is one of the best mathematics departments in Australia, achieving an “above-world standard” classification in the Excellence in Research for Australia (ERA) rankings (In the most recent round (2015) of ERA ranking, both applied mathematics and applied statistics disciplines were ranked in the “well-above-world standard” category, and the pure maths discipline was ranked in the “above-world standard” category). We provide a learning and research environment that is supported by highly-qualified academic staff with expertise covering a wide range of sub-disciplines within the mathematical and statistical sciences.
The following positions are available:
- Lecturer in Applied Mathematics (Position #171250): Permanent/Continuing, Full Time Appointment
- Lecturer in Statistical Sciences (Position #171607): Permanent/Continuing, Full Time Appointment
- Lecturer (Position #171586): Fixed Term, Full Time Appointment (3 years)
Please note: All three positions are at Level B (Lecturer, which is equivalent to an Assistant Professor position in the USA).
The School is seeking to appoint three enthusiastic and capable mathematicians/applied mathematicians/statistician to undertake teaching, research, governance and community outreach/professional service duties consistent with a Level B (Lecturer) appointment. The first position is for an applied mathematician who has research experience in the field(s) of stochastic differential equations, with priority being given to candidates with research strength in stochastic optimisation, stochastic modelling in biology or medicine, and stochastic processes in financial mathematics. The second position is for a well-qualified statistician with a PhD in statistics, data science or closely related field, while the third one is open to any field of mathematics, with priority being given to candidates with research strength in optimisation, mathematical modelling, financial mathematics, topological dynamics or functional analysis.
To apply for a position, please visit our UOW website https://jobs.uow.edu.au/careersection/ext/jobsearch.ftl
For further information about this position, please contact Professor Song-Ping Zhu on + 61 2 4221 3807 or email email@example.com
The University plan seeks to increase the diversity of the workforce and the representation of women in areas they have been traditionally under-represented. Consistent with this, the University is seeking to increase the representation of women in the academic workforce across science, technology, engineering, mathematics and medical (STEMM) disciplines and encourages suitably qualified candidates to apply.