[AgMIP] PhD opportunity in Tasmania, Australia - Modelling up-scaling in irrigated Ag Syst

[agmip at lists.agmip.org]

Dear colleagues,

I would be very grateful if you could forward the following information to =
your graduates and students.

A new call from TIA (http://www.utas.edu.au/tia) has been opened to conduct=
 a research PhD study at the University of Tasmania based on Hobart, Tasman=
ia, Australia. Conduct a PhD program at TIA will place you in a unique rese=
arch environment. We aim to ensure that you not only make an impact on agri=
cultural systems analysis but also develop the skills you need for the care=
er you want at the end of your degree.

The PhD project will provide the development of skills and leadership in th=
e area of bio-economic integrated assessment of irrigated agricultural syst=
ems, including the development and application of modelling and mathematica=
l methods for prioritising technology and policy actions in agricultural sy=
stems (crops [barley, wheat, potato and pastures] and livestock) at regiona=
l scale.

Summary: Sustainable land and water management is faced with various challe=
nges at the field, farm and larger regional and market scales. Natural reso=
urces are managed at field-scale but policy settings are usually regional o=
r national. Likewise, the scalability of agricultural systems (i.e. methods=
 used to integrate data and models at different scales) is often ignored or=
 only partially represented. This project will investigate how water manage=
ment impacts crop productivity regionally in Tasmania. We will apply existi=
ng model-scaling techniques and assess the drivers of yield variability for=
 diverse Tasmanian agricultural systems. This innovative research will comb=
ine strengths in irrigated agriculture at field-scale with multi-scale mode=
lling, multi-model analysis and integrated bio-economic assessments. This p=
roject will develop methods which can support improved water risk managemen=
t and planning with better understanding of the drivers of yield variabilit=
y and scaling methods.

To be considered as a candidate you will have:

Essential Criteria:

  *   Undergraduate studies and research experience in a relevant disciplin=
e area, such as agricultural systems, agronomy, environmental sciences, sta=
tistics, geographic information system mapping, climatology, mathematical p=
rogramming with focus on agriculture.
  *   Knowledge of agricultural systems and crop models.
  *   Demonstrated excellence in research (e.g. posters, papers, fieldwork,=
 etc.).
  *   Modelling skills (mathematical, biophysical, climate models, etc.)


Desirable Criteria:


  *   MSc studies.
  *   Experience writing scientific code in R, Python or equivalent languag=
es, and experience handling large datasets.
  *   Ability to work effectively and independently as part of a multi-disc=
iplinary and regionally dispersed research team.


If you are interested, please send CV (no more than 2 pages) to jonathan.oj=
eda at utas.edu.au<mailto:jonathan.ojeda at utas.edu.au>

Please, share in your networks. Do not hesitate to contact me for further q=
uestions.

Regards,
Jon

Dr Jonathan Ojeda
Junior Research Fellow =96 Agricultural Systems Modeller
Tasmanian Institute of Agriculture
University of Tasmania
Sandy Bay Campus
Hobart TAS 7005
+61 4 1756 5610
http://www.utas.edu.au/profiles/staff/tia/jonathan-ojeda
utas.edu.au/tia<http://www.utas.edu.au/tia/home>

Recent publications:
-Ojeda et al (2018) Modelling inter-annual variation in dry matter yield an=
d precipitation use efficiency of perennial pastures and annual forage crop=
s sequences. Agric For Meteorol 259:1. doi:10.1016/j.agrformet.2018.04.014
-Ojeda et al (2018) Forage yield, water- and solar radiation-productivities=
 of perennial pastures and annual crops sequences in the south-eastern Pamp=
as of Argentina. Field Crops Res 221:19. doi:10.1016/j.fcr.2018.02.010.
-Ojeda et al (2018) Vertical distribution of root biomass and soil carbon s=
tocks in forage cropping systems. Plant Soil. 423:175. doi:10.1007/s11104-0=
17-3502-8.
-Ojeda et al (2018) Modelling forage yield and water productivity of contin=
uous crop sequences in the Argentinian Pampas. Eur J Agron 92:84. doi:10.10=
16/j.eja.2017.10.004.
-Ojeda et al (2018) Modelling stover and grain yields, and subsurface artif=
icial drainage from long-term corn rotations using APSIM. Agric Water Manag=
 195:154. doi:10.1016/j.agwat.2017.10.010.

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