The Centre of Expertise in Big Geodata Science (CRIB) University of Twente is inviting applications for the positions of Researcher Geospatial Cloud Computing and Big Geodata.
The Centre of Expertise in Big Geodata Science (CRIB) uses a collaborative approach to develop innovative, time- and energy-efficient solutions for large and complex geospatial and Earth Observation workflows and shares this know-how with colleagues from the Faculty ITC, its network of partners, and beyond.
The candidate will perform research on methods to improve the performance and efficiency of geospatial workflows to process large spatiotemporal datasets by using state-of-the-art parallel and distributed computing capabilities provided by modern hardware and software infrastructure (e.g., SIMD, multithreading, GPU, etc.). He/she will contribute to the development of open-source research software that implements such methods to enhance the quality and efficiency of geospatial computing starting from workstations and going up to large-scale cloud platforms. He will publish his outputs and lessons learned as open-access scientific publications in line with Open Science and FAIR principles, and present them at scientific meetings and conferences.
Duration: 1 year
- Gross monthly salary between € 3,974.- and € 5,439.- (depending on experience and qualifications)
- A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%
- Excellent support for research and facilities for professional and personal development
- A solid pension scheme
- A total of 41 holiday days in case of full-time employment
- Professional and personal improvement programs
- Costs for moving to Enschede may be reimbursed
- A PhD degree in Computer Science, GIS, Remote Sensing, or a similar field with relevance to geospatial computing
- Research interests that fit into the school vision to develop and share know-how and tools for time- and energy-efficient geospatial computing, especially on the Cloud
- Excellent collaboration skills in a multicultural academic setting and ability to work independently
- Experience in high-performance computing using multi-core, multi-CPU, GPU, multi-GPU, or computing clusters.
- Demonstrated experience in cloud computing and big data technology
- Experience with low- and high-level geospatial computing tools and applications (e.g., GDAL, PDAL, PROJ, QGIS, Pangeo Stack, etc.) and ML/AI frameworks is an asset
- Experience in software development in a research environment.
- Relevant skills for developing and documenting open-source, robust, and reusable software is an asset
- Experience with system programming languages (e.g., C and C) and high-level programming languages (e.g., Python and R)
- Excellent command of English. Knowledge of, and/or willingness to learn Dutch is an advantage
Interested applicants are to send the following documents alongside their applications:
- a detailed Curriculum Vitae
- motivation letter emphasizing specific interest in the position and outlining relevant skills and experience, and
- the names of two references.
To apply, click here.
Deadline: February 03, 2023.
For more information on Researcher Geospatial Cloud Computing and Big Geodata, visit the official site.