Archaeological Remote Sensing Specialist

Werken bij TU Delft

Working at TU Delft means contributing to solutions that really make a difference. For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly, focusing on themes such as energy, climate, digitalisation, artificial intelligence, and smart mobility.

You will join the Faculty of Civil Engineering and Geosciences, specifically within the Department of Geoscience and Remote Sensing, contributing to the MAPHSA project funded by Arcadia. This role offers an inspiring international community where you can take the initiative, work with others, and grow as a professional.

Arbeidsvoorwaarden

TU Delft offers excellent working conditions to support your personal and professional development:

• Duration of contract is 33 Months.
• A salary based on Scale 11 of the CAO for Dutch Universities with an 8% holiday allowance and an end-of-year bonus of 8.3%.
• An excellent pension scheme via the ABP.
• Flexible working week and the possibility to compile an individual employment package every year.
• 232 leave hours per year (at 38 hours) with options to buy or sell additional leave.
• Plenty of opportunities for education, training, and courses, alongside a vitality program.

Solliciteer nu via de knop hieronder en draag bij aan grensverleggend onderzoek!

Belangrijkste verantwoordelijkheden

• Development of methodology to identify and interpret typically sparse and hidden information in massive remote sensing data sets of suitable areas in South America.

• Project coordination and communication with other project partners.

• Communication on your project results to the outside world by means of scientific publications.

• Supervising additional staff and students working on different topics indirectly or directly related to MAPHSA.

• Contribute to the funding and educational activities of the Department.

Vereisten

• PhD in Archaeology, and knowledgeable in pre-Columbian archaeology.

• Working knowledge of state-of-the art Machine Learning methodology.

• Proven experience with different remote sensing acquisition methods, including LIDAR and spectral Remote Sensing.

• Able to efficiently process large data sets.

• Fluent in Spanish and English in speaking and writing.

• Proven capabilities in acquiring research funding.

• Experience in education, notably in supervising educational research projects, including BSc, MSc and PhD thesis projects.

• Experience in project coordination.

Secundaire arbeidsvoorwaarden

• Extra beloning (bijv. 13e maand, vaste eindejaarsuitkering)
• Pensioen