Aurora

Aurora is our weekly newsletter aimed at faculty, staff, and students of the department.

Volume
22

No.
44

Employment Opportunities


NRCan Research Scientists - 3 Positions

In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

Graduation with an acceptable doctoral degree from a recognized post-secondary institution in a field of natural sciences in one of the specializations* listed below or other specialization related to the duties of the position, or the employer-approved alternative for the SE classification. (See Note 1):

*Acceptable specializations:
- Environmental studies
- Hydrogeology
- Environmental geochemistry
- Chemical Engineering
- Geomicrobiology
- Inorganic Chemistry
- Hydrometallurgy

Note:
1. The employer-approved alternative for the SE classification is an acceptable master's or bachelor's degree coupled with acceptable research, training and experience. The degree must be from a recognized post-secondary institution and in scientific fields and specialties related to the duties of the position. The training and experience must clearly demonstrate the ability to do personal research of doctoral degree calibre.

PRODUCTIVITY/RECOGNITION
Productivity or recognition includes developmental work leading to the issue of patents, copyrights, or the creation of improved varieties, functions, or designs, and/or recognition by the professional community of the research environment. It also refers to recognized achievement in the form of authorship and editorship of published or unpublished reports, books, papers, or other communications resulting from:
• Research, experimental development, or tasking associated with operational equipment and problems;
• Operational research and scientific analysis;
• Planning, analysis and evaluation of Canadian and foreign programs in research and development.

Degree equivalency

Experience in developing, and conducting research to advance knowledge in one of the streams (see below).
Experience in working with a team of researchers and support staff.

Stream 1: Geo-environment
Experience in the implementation and interpretation of regional or local environmental geochemical studies.
Experience using state-of-the-art geochemical instruments.
Experience in using geographic information systems, processing multi-source data, or earth observation techniques.

Stream 2: Hydrogeology
Experience in using state-of-the-art hydrogeology instruments.
Experience in conducting regional or local hydrogeological surveys.
Experience in using geographic information systems, processing multi-source data, or earth observation techniques.

Stream 3: Mine Waste Management
Experience preparing or reviewing mine waste geochemistry assessments, and/or water quality predictions and/or modelling for mining projects, especially related to acidic drainage and metal leaching.
Experience in the evaluation of technologies for the prevention and control, and/or mitigation of water quality impacts from mining projects.
Experience in conducting research in mining and minerals environmental sciences related to mining projects, such as: Geology, geochemical characterization (prediction), management of mine wastes (tailings, waste rock, sludge and mining effluents), prevention and mitigation, and reclamation technologies.

For more information and how to apply, please see here.


Physicaloxy Postings - 5 Positions

For more information and how to apply, please see the posting links below:


Tenure Track Group Leader in Data Science for Water Research, Eawag Aquatic Research, Dübendorf, Switzerland

The objective of the position is to develop an independent research line in data science applied to prediction and knowledge discovery of hydrological, ecological, engineering, and social systems relevant for water research and management. The research group associated with the position is expected to be built with external and internal research grants.

The group will be located at Eawag in Dübendorf in a stimulating interdisciplinary environment with modelers and experimentally oriented scientists in water research. In our department, Siam, we offer the potential for interaction with researchers in statistical inference, computation and mathematical modelling of hydrological and ecological systems and strong links to other departments. These departments offer interesting data sets and knowledge from various fields of water research. In addition, the new group leader can build on and extend our existing collaborations with the Swiss Data Science Center at the technical universities ETH Zurich and EPFL Lausanne, the Swiss National Supercomputing Center in Lugano and many international partners.

We are looking for a candidate with:
• a PhD degree in computer science, engineering, mathematics, physics or a similar discipline
• postdoctoral experience in data science, in particular regarding machine learning techniques
• strong knowledge in mathematics, numerical techniques, and programming
• high interest in applying these techniques to explore environmental, technical and social systems relevant to water research and management in collaboration with scientists from these fields
• communication and social interaction skills to stimulate interdisciplinary collaboration

The application must include:
• a brief letter of application that includes the motivation of the applicant for this position and a description of his or her experience in relevant fields of data science
• a research statement including foreseen future research plans
• a curriculum vitae including the list of publications
• academic transcripts/records
• names and contact information for at least two academic references

For further information please contact Prof. Dr Peter Reichert, Email peter.reichert@eawag.ch.  To apply, please see here.

The closing date fir applications is September 17, 2018.