Main Purpose of the Job:
36 Months contract
•Working as part of a multidisciplinary team to develop site investigation and monitoring plans.
•Independently analyzing and interpreting 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
The ideal candidate should have a PhD in either Hydrology, Hydrogeology, Environmental Engineering, Water Resources or Environmental and Water Science, with a strong aquifer analysis.
Experience and working knowledge:
No work experience is necessarily required, but prior exposure in the following areas will be of added advantage:
•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 with proficiency with Microsoft Word and Excel.
•Experience with conceptualisation, design, and application of distributed hydrology watershed models.
•Fluency in one or more programming languages.
•Excellent written and oral communication skills in English. Because visible scientific accomplishments are key to the success of our work, the candidate must have demonstrated excellent communication skills as evidenced by publications in top-tier journals and presentations at professional conferences. Proactive and timely publication is an essential requirement. The candidate must be able to work well independently and in a multi-disciplinary team setting. The candidate must exhibit a strong work ethic, be self-motivated, and place a high value on data quality and accuracy.
•A major key performance area for this post is writing proposals for external funding.
Candidates that demonstrate any or all of the following will be preferred: (1) 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; (2) fluency with a distributed hydrology model (e.g., DHSVM) (3) GIS skills to setup the model and evaluate/visualize results; and (4) statistical knowledge to properly calibrate and validate the model, especially using auto-calibration.
•Experience with AQTESOLV®.
- Main Purpose of the Job:
- Minimum level of education: Diploma /Bachelor’s/ N6
- Language(s): English
- Availability for travel: No
- Availability for change of residence: No