Data Scientist for Earth Observation and Climate Modeling
hace 3 días
Overview
">IE University, a globally recognized institution with a strong focus on innovation and research, is seeking an exceptional Data Scientist to join its faculty in the School of Science and Technology. The successful candidate will have a proven track record in leveraging data science to address pressing environmental challenges.
">About IE University
">Located in the heart of Madrid, IE University offers a unique learning environment that fosters collaboration and creativity among students from over 120 countries. Our campus is equipped with state-of-the-art facilities, providing an ideal setting for cutting-edge research and teaching.
">Job Summary
">We are looking for a highly skilled Data Scientist with expertise in earth observation, climate modeling, and geospatial analysis. As a tenure-track faculty member, you will be responsible for developing and teaching courses, conducting research, and supervising students. Your work will contribute significantly to our understanding of global environmental issues and inform evidence-based solutions.
">Key Responsibilities
">- ">
- Develop and teach undergraduate and graduate courses on topics such as remote sensing, geospatial data analysis, satellite image processing, climate data visualization, and environmental data science.">
- Lead impactful research projects using satellite imagery, GIS tools, climate models, and big data techniques to address global environmental issues, while actively securing competitive research funds.">
- Collaborate with faculty across disciplines and industry partners to develop innovative applications of earth observation technologies in sectors such as agriculture, urban development, environmental monitoring, and disaster risk reduction.">
- Supervise and mentor undergraduate, graduate, and Ph.D. students, particularly in the use of spatial data and climate modeling tools.">
- Participate in the development of new curricula, focusing on experiential learning and the practical application of earth observation and climate science.">
Requirements
">We offer a highly competitive salary, in line with top-ranked European academic institutions, along with a generous seed research fund to cover travel, equipment, and relocation costs. You will also enjoy access to state-of-the-art campus facilities, a professional and stimulating international working environment, and full access to public health services through membership of the National Insurance Scheme.
">About the Role
">The successful candidate will have a Ph.D. in Data Science, Geospatial Sciences, Environmental Science, Climate Science, Remote Sensing, Geoinformatics, or a closely related field. A strong publication record in top-tier journals and conferences relevant to geospatial analysis, environmental data science, and climate research is required. Experience designing and teaching data science courses with an emphasis on earth observation and GIS applications is highly desirable.
">About the Benefits
">We offer a range of benefits, including:
">- ">
- A competitive salary in line with top-ranked European academic institutions (€80,000 - €100,000 per annum)">
- A generous seed research fund to cover travel, equipment, and relocation costs">
- State-of-the-art campus facilities and support to build your lab infrastructure">
- A professional and stimulating international working environment with English as the de facto language">
- Full access to public health services through membership of the National Insurance Scheme">
- Diversity in an open-minded, inclusive, and family-friendly environment">
- Inspiring campus life on a conveniently located, state-of-the-art unique campus in the hearts of Madrid and Segovia">
About Us
">IE University is an internationally recognized institution originally founded as a business school. We consider ourselves the most international institution of higher education with approximately 85% of our students coming from outside Spain and typically over 120 countries represented on campus. For further information on the current faculty and lines of research, please visit IE Research Datalab.
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