Tenure-track Faculty positions in Data Science: Earth Observation 2025-2026

Job Title: Assistant Professor in Data Science
Location: IE University (Madrid, Segovia)
Department: School of Science and Technology
Start Date: 1 September 2025

Position Overview:

IE University’s School of Science and Technology invites applications for a full-time faculty position in Data Science with a specialization in Earth Observation, Geographic Information Systems (GIS), Remote Sensing, Satellite Data Analysis, and Climate Modeling. We seek candidates with a robust academic background, a strong research portfolio, and a passion for using data science to tackle some of the world’s most pressing environmental challenges. The ideal candidate will focus on leveraging satellite imagery, GIS systems, and advanced data analytics to understand and address global issues such as climate change, natural resource management, urban planning, and disaster mitigation. 

We value candidates with the capacity to collaborate in applied research projects led by the Impact Xcelerator at IE School of Science and Technology, specifically in one of the three focus areas: Climate/Energy, Healthcare, or Financial Systems. The ability to contribute to multidisciplinary research initiatives that apply cutting-edge technologies to real-world challenges in these sectors will be key to the role’s success, providing opportunities to work closely with industry partners and stakeholders to drive innovative 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, in connection to the IX Energy and Sustainability Lab.
• 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.
• Engage in academic service and play a role in the strategic development of the School of Science and Technology.

Required Qualifications:

• A Ph.D. in Data Science, Geospatial Sciences, Environmental Science, Climate Science, Remote Sensing, Geoinformatics, or a closely related field.
• Demonstrated research excellence in areas such as GIS, Earth Observation, Remote Sensing, Satellite Data Analysis, Geospatial Analytics, or Climate Modeling.
• A strong publication record in top-tier journals and conferences relevant to geospatial analysis, environmental data science, and climate research.
• Experience designing and teaching data science courses with an emphasis on earth observation and GIS applications.
• Ability to collaborate on interdisciplinary projects involving climate modeling, geospatial technologies, and environmental policy.

We offer:

• A competitive salary in line with top-ranked European academic institutions.
• 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 plus a discount plan to acquire an additional private health insurance plan.
• 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.

Application Instructions

Please include a cover letter and a curriculum vitae, a research statement, a statement of teaching philosophy and one confidential recommendation letter. You may include teaching evaluations and sample course syllabi in your dossier. 
Pre-submission inquiries about the open positions may be addressed to Prof. Dae-Jin Lee (Dae-Jin.Lee@ie.edu). For general enquiries, contact Sara Flores sara.flores@ie.edu Associate Director of Faculty Affairs.

Create your dossier at Interfolio and apply at:  http://apply.interfolio.com/157884

We will start screening after December 15.  Applications received until this date will be considered for the first round of interviews. The position will remain open until it is filled.

About IE University and the School of Science and Technology

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. Our Madrid postgraduate campus is situated in the financial district of this vibrant, cosmopolitan capital city of over 5 million people. In 2021 we opened the IE Tower, standing as one of the 5 towers in the business district of Madrid with a 6000-student capacity.

The School of Science and Technology prepares students with industry relevant skills in the context of STEM and related educational programs. The school offers undergraduate and graduate degrees in Computer Science, Artificial Intelligence, Applied Mathematics and Data analytics. For further information on the current faculty and lines of research, please visit IE Research Datalab (https://www.ie.edu/ieresearchdatalab/). 
The IE Impact Xcelerator offers new faculty the opportunity to participate in applied research labs in collaboration with research groups and companies in fields like healthcare, environmental science, finance, and cybersecurity, profiting from the rich network of the IE Business School.