Advances in real-time satellite monitoring of flow in rivers and estuaries (RT-FLOW) ARC Linkage Project
PhD project areas: (1) Flow field visualisation and advective-dispersion model validation using drifter data. The appointee’s major should be in mechanical engineering, physics, earth science or mathematics. (2) Lagrangian data assimilation in hydrodynamic models. The appointee’s major should be in mechanical engineering, physics, earth science or mathematics. (3) Air-water interface flux exchange: field observation and numerical modelling (4) Developing of GPS components and real time monitoring. The appointee’s major should be in electrical/electronic/mechatronic engineering or physics.
Applicants from different backgrounds to those indicated above but who have other experience of an equivalent standard are encouraged to apply.
About the research: Lagrangian field data in tidal shallow waters are rare, but valuable for the understanding of the spatio-temporal structure flow and water qualities, validation and calibration of hydrodynamic models, and advection-dispersion models for such systems. Recent improvements in GPS technology have paved the way for the development of instrumented high resolution Lagrangian drifters capable of being deployed in shallow rivers and estuaries where processes of interest occur in small scales (O (100 seconds) and O (few metres). RT-FLOW focusses on, development of passive drifters capable of measuring flow and water quality parameters, assimilation of field flow and water quality data into hydrodynamic models, modelling of transport of particles and scalars, in shallow rivers and estuaries.
The researchers will join a highly dynamic, international research cluster performing fundamental and applied research on transports and mixing processes in shallow waters, hydrodynamic modelling and designing robust environmental instruments. The researchers will work directly with colleagues in the School of Environmental Engineering University of the Sunshine Coast and School of Civil Engineering, the University of Queensland.
Background: 1st Class Honours or equivalent preferred. Applicants from different backgrounds to those indicated above but who have other experience of an equivalent standard are encouraged to apply. Applicants must comply with QUT PhD entry requirements. IELTS standard of 6.5 with no band less that 6.0 is the QUT English requirement. You will be part of a growing research team that values diversity and creativity.
Scholarship: Ideal candidates will be eligible for range of funding to cover tuition, Oversea Health Insurance and Living expense through, IPRS, APA, and QUTPRA Scholarships. PhD students will be based within the School of Chemistry, Physics and Mechanical Engineering at the Queensland University of Technology and supervised by Professors Richard Brown and/or Yanming Feng and/or Scott McCue.
What You'll receive: A scholarship, indexed annually ($26,500 in 2016). The scholarship is tax exempt, and is for living costs for up to 3 years for PhD students, $3,000 expense, travelling allowance, $1,520 relocation allowance (domestic students only) and $420 (masters by research), or $840 (PhD) thesis allowance after submitting your thesis. You can also apply for: $5,000 pa scholarship top up for high calibre candidates
Requirements: Applicants should have very good first degree/masters as indicated above. Excellent written and oral English communication skills are essential. Candidates must also be eligible for admission to the PhD program at the Queensland University of Technology. For more information and requirements for PhD studies in Science and Engineering at the Queensland University of Technology, see: https://www.qut.edu.au/study/international-courses/doctor-ofphilosophy/doctor-of-philosophy-science-engineering Other additional criteria for selection of candidates for these positions are:
1. Applicants should have a strong background/interest in fluid dynamics (analytical and numerical, and data analysis)
2. Applicants must have a good level of programming such as R, C++, MATLAB and FORTRAN
3. Prior experience with hydrodynamic modelling tools (e.g. DELFT3D) will be an additional advantage
4. Strong communication and technical writing skills
5. Fluency in both written and spoken English
6. Demonstrate previous relevant experience with project work in this area an advantage
Expression of interest: Please email an up-to-date CV, and a brief outline on which area of the 4 PhD projects you are most interested in, to Professor Richard Brown (firstname.lastname@example.org) and cc to Dr Kabir Suara (email@example.com). Informal inquiries on the projects are welcome.
Applications: upon correspondence, applicants will be provided with relevant information and will be directed to apply through the University's annual admission and scholarship rounds closing February 28, 2017. Expected start date: Early to mid 2017