A unique opportunity is available for an outstanding early career researcher to take up the position of Postdoctoral Fellow in Computational Genomics to develop improved models of genomic diversity.
Location Canberra/ACT
Term of Contract Fixed Term of 2 Years
Grade Level A
Salary Package $58,077 - $73,669 pa plus 17% superannuation
View Academic Salary Information...
Closing Date 22 January 2012
Position Overview The Computational Genomics Group in the John Curtin School of Medical Research at The Australian National University have made pioneering contributions to our understanding of genetic diversity within and between mammal species in areas including: the genomic distribution of linkage disequilibrium, human molecular adaptation, the influence of sex on mutation rates, the relationship between epigenetic state and genetic variation, and the radiation of mammals. These contributions have been accompanied by significant methodology developments in the form of both novel statistical models and open source software for analyses of genomic diversity. Our recent advances in models of context-dependent substitution, for instance, represent a significant advance in robust estimation of the mode of natural selection.
The Postdoctoral Fellow will work on the development and application of improved models of sequence divergence, joining a highly productive collaboration between Associate Professors Gavin Huttley and Von Bing Yap (National University of Singapore). The work will build on the PyCogent open source software toolkit for statistical modelling of molecular evolution developed in the Huttley laboratory.
If you have an outstanding track record in a relevant area such as molecular evolution, population genetics, mathematical statistics, computational or theoretical chemistry, the experience and qualifications necessary to succeed and are keen to join a leading team in research, we would welcome your application. Experience in programming will be highly regarded.
The Australian National University is an equal opportunities employer, encouraging applications from women and applicants from diverse backgrounds
*To be considered for this position, applications must address the selection criteria. Please frame your application accordingly.
Previous applicants need not apply.
Applicant Enquiries: Associate Professor Gavin Huttley
Phone: (02) 6125 7961
Email: Gavin.Huttley@anu.edu.au
Additional Information PEWER.pdf
Position description
Responsible to Associate Professor Gavin Huttley
Role statement PURPOSE STATEMENT:
A Level A Academic (Research Intensive) is expected to contribute towards the research effort of the institution and to develop his/her research expertise through the pursuit of defined projects relevant to the particular field of research. This position exists to fulfil the aims and objectives of the ARC discovery project DP1095637. The position strengthens the work area by adding to the computational expertise of the Genome Biology Program.
POSITION DIMENSION & RELATIONSHIPS:
The postdoctoral Fellow will directly work with members of the Computational Genomics Laboratory, colleagues within the Genome Biology Program and our international collaborators on improving understanding of genetic diversity through development of statistical models.
ROLE STATEMENT:
Specific duties required of a Level A Academic may include:
• interact with the Chief Investigators of the project to develop a sophisticated understanding of the grant objectives;
• work on the specification and implementation in software of novel statistical models of sequence divergence in collaboration with the Chief Investigators and the application of those models in accordance with the grant objectives,
• Undertake software development in a manner consistent with standards defined by the Chief Investigators,
• conduct research under limited supervision either as a member of team, or where appropriate, independently, and contribute to the production of conference and seminar papers and publications from that research,
• involvement in professional activities including, subject to availability of funds, attendance at conferences and seminars in the field of expertise,
• some administrative functions primarily connected with the area of research of the academic,
• occasional contributions to teaching in relation to his/her research project(s),
• experimental design, and operation of advanced laboratory and technical equipment or conduct of advanced research procedures,
• attendance at laboratory meetings associated with research or the work of the organisational unit to which the research is connected and/or at departmental and/or faculty meetings and/or membership of a limited number of committees,
• advice within the field of the staff member's research to postgraduate students,
• other duties as consistent with the classification of the position.
SKILL BASE (Academic Level A):
A Level A Academic will normally have completed four years of tertiary study in the relevant discipline and/or have equivalent qualifications and/or research experience.
In many cases a position at this level will require an honours degree or higher qualifications or equivalent research experience. Research experience may have contributed to or resulted in publications, conference papers, reports or professional or technical contributions that give evidence of research potential.
Selection criteria
SELECTION CRITERIA:
• A PhD degree in the area of genetics, statistics, computational biology / bioinformatics or other quantitative scientific discipline and outstanding record of achievement at the postgraduate level,
• Experience or willingness to learn molecular evolution and applied statistics,
• Experience with Unix and programming in Python or a demonstrated ability to learn computer languages easily,
• A pragmatic, intellectually flexible approach to research,
• Demonstrated ability to foster inclusive, respectful and productive working relationships with staff, students and colleagues at all levels,
• Highly motivated with the ability to work collaboratively in a team as well as independently and excellent written and oral communication skills in English,
• A demonstrated understanding of equal opportunity principles and policies and a commitment to their application in a university context.
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