Research Assistant: Environmental Monitoring and Data Science
1 week ago
The Arabian Center for Environmental and Climate Sciences (ACCESS) is building an environmental monitoring system for the UAE based on autonomous land and marine sensors, as well as periodic manned observation campaigns. ACCESS is also developing and running high-resolution ocean, atmospheric, and climate models for the Gulf region. These activities are generating large amounts of data that needs to be archived, analyzed, visualized, and made available to scientists both in the UAE and abroad, as well as, in part, to the general public.
Key Responsibilities- Developing Data Visualization and Archival Tools: Design and implement web-based tools for visualizing and archiving scientific data produced by ACCESS.
- Automated Data Retrieval and Archiving: Develop software tools that retrieve and archive data gathered by autonomous sensors deployed by ACCESS without human intervention.
- Data Analysis and Modeling: Analyze data from multiple sources (models and sensors) using mathematical and statistical techniques.
The successful candidate is expected to take the lead in at least one of these activities and will also work on individualized research projects under the supervision of the faculty during the duration of their tenure.
Requirements- Programming Skills: The successful applicant is expected to be extremely fluent in the Python programming language and to have substantial experience in the field of data science.
- Mathematical Background: A strong mathematical background is required, as well as aptitude for scientific computations.
- Environmental Sciences: The successful applicant must also show a strong interest in environmental sciences and the capacity to work well in teams.
- Linux Operating System: Direct experience with the Linux operating system is highly desirable.
- Web Programming: Provable experience in web programming, particularly developing dashboards and data visualization interfaces, is highly valuable.
- Embedded Computing and Electronics: Experience in embedded computing and electronics is also highly valuable.
- Scientific Computing: Experience in scientific computing on HPC systems is highly valuable.
- Data Analysis and Machine Learning: Experience in data analysis, data mining, machine learning, and deep learning is highly valuable.
- Statement of Interest: A statement of interest in the position.
- Transcript of Degree(s): A transcript of degree(s).
- CV: A CV.
- Letters of Recommendation: Two letters of recommendation.
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