2. RESEARCHER, HYDROLOGY
|Location||Gaborone, South East, Botswana|
The Botswana Institute for Technology Research and Innovation (BITRI) is a newly established technology research institute whose mandate is to undertake research, identify and or develop appropriate technologies in line with national priorities and needs of Botswana.
•To independently analyse ad interpret hydro geologic and geochemical data including the development of cross-sections, groundwater potentiometric and geochemical plume maps, flow nets, and analysis of pumping/slug test data to determine aquifer properties.
•PhD in either Hydrology, Hydrogeology, Environmental Engineering, Water Resources or Environmental and Water Science, with a strong aquifer analysis.
Experience and working knowledge:
•At least five years relevant research experience.
•Experience with AQTESOLV® is desirable.
•Experience with contaminant fate and transport processes and operating knowledge of groundwater modeling (such as Visual Modflow or similar numerical models).
•Understanding of remedial technologies available to address common contaminants in groundwater (i.e., solvents, petroleum, and metals) in soil and groundwater including their uses and limitations.
•Good technical writing, data management, organisational and communication skills are required along with proficiency with Microsoft Word and Excel.
•Experience with conceptualization, design, and application of distributed hydrology watershed models; fluency in one or more programming languages; excellent written and oral communication skills; evidence of publications in top-tier journals and presentations at professional conferences.
•Evidence of writing proposals for external funding.
•The following will be of added advantage: skills in data synthesis, conceptual model development (e.g. gridding/meshing, mapping of boundary and initial conditions, source sinks), and post-analysis/interpretation of simulation results; fluency with a distributed hydrology model (e.g., DHSVM); GIS skills to setup the model and evaluate/visualise results; and statistical knowledge to properly calibrate and validate the model, especially using auto-calibration.
|Job Closing Date||26/05/2017|