PhD position within Remote Sensing and Innovative AI for Land Resource Mapping and Monitoring
Deadline: 03.03.2025
Publisert
NMBU will contribute to securing the future of life through outstanding research, education, communication and innovation. We have the country's most satisfied university students, who receive research-based education in a unique student environment. Our graduates gain a high level of competence in interdisciplinary collaboration and are popular in the labor market.
NMBU has internationally leading research environments in several subjects. Together with our partners in society and business, we contribute to solving some of the biggest societal challenges of our time. We focus on innovation, communication and entrepreneurship because we believe these challenges are best solved with joint efforts. We believe that a good working environment is characterized by diversity.If necessary, workplace adaptations will be made for persons with disabilities. More information about NMBU is available at www.nmbu.no/en.
About The Faculty of Science and Technology
The Faculty of Science and Technology (REALTEK) develops research-based knowledge and educates civil engineers and lecturers needed to reach the UN's sustainability goals. We have approximately 150 employees, 70 PhD students and soon 1500 students. The education and research at REALTEK cover a broad spectrum of disciplines.
This includes data science, mechanics and process engineering, robotics, construction and architecture, industrial economics, environmental physics and renewable energy, geomatics, water and environmental engineering, applied mathematics as well as secondary school teacher education in natural sciences and use of natural resources such as in agriculture, forestry and aquaculture. The workplace is in Ås, 30 km from Oslo.
What is it really like to work at the Faculty of Science and Technology (REALTEK) at NMBU?
The diversity and volume of remotely sensed data are rapidly increasing, with an expanding variety of sensor and platform types, higher temporal frequencies, and varying spatial scales. These developments present both opportunities and challenges in the use of remote sensing for effective mapping, monitoring and management of land resources such as forestry, agriculture, rangelands, wetlands, and urban environments. Although the diverse and frequent data provide great opportunities, the complexity that comes with diverse and big data present methodological challenges in harnessing those opportunities. Likewise artificial intelligence (AI) methods are expanding and deepening their areas of applications offering potentially diverse and impactful solutions.
The successful candidate will work towards harnessing the multi-aspect of remote sensing through innovative AI techniques to enhance the accuracy and efficiency of land resource mapping and monitoring. Possible areas of research can be innovative use of AI for fusion of multi-source remote sensing data (multiple sensors or platforms), satellite image timeseries analysis, integration of timeseries and multi-resolution, or similar cases. Possible application areas can be mapping and monitoring of forest resources, agricultural areas, urban environments, and/or wetlands.
The applicant must submit a project description and enter a plan for the progress of the work towards a PhD degree, with a view to completing a doctorate within the PhD contract period.
You will join the research efforts at the Department of Geomatics at NMBU and contribute to its development. As a student in the PhD Programme Science and Technology, you will work towards your doctoral thesis and earn your PhD upon successful defense of your thesis.
Main tasks
Description of tasks or PhD project:
Perform high-quality scientific research and publish the outcome through relevant scientific channels.
Develop an academic career and acquire strong scientific competences.
Be a cooperative member of the research team and collaborate with other members of the institute and faculty.
Take part in joint research activities such as case studies, data collection, and analysis.
The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.
Competence
Required qualifications
A Master's degree or equivalent in Geomatics, Remote Sensing, Geoinformatics, Data Science with specialization in Geomatics, Physical Geography with strong Geomatics and Data Science competence, or related fields. Strong competence in data science and programming. Foreign degrees must correspond with the admission criteria for the PhD program. Candidates submitting MSs thesis within 31. May 2025 may be considered.
Personal suitability and motivation for the position.
The following experiences and skills will be emphasized:
Desired knowledge/experiences in:
Working with diverse remote sensing data
Data science topics particularly machine learning and deep learning.
High Performance Computing (HPC) systems
Python programming.
The project descriptions’ scientific merit, research-related relevance and innovation
The applicant's estimated academic and personal ability to complete the project within the time frame
The applicant's ability to complete research training
Applicants who have recently graduated with excellent results may be given preference.
Personal qualities:
Good collaboration skills and an ability to join interdisciplinary academic communities
Good social and collaborative skills
Good communicative skills.
Good problem-solving and innovative skills
Independent and reliable
The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. For more detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description.
Remuneration and further information
We offer:
Salary 532200 NOK per annum. For exceptionally well qualified candidates a higher salary may be considered.
Government pay scale position code 1017 PhD Research Fellow.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NMBU.
Contact information
For further information, please contact:
Dr. Misganu Debella-Gilo, Associate Professor, Department of Geomatics, E-mail: misganu.debella-gilo@nmbu.no; phone +47 67231543 (do not use this e-mail for application, it is only for questions)
To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.
Application deadline: 03.03.2025
Please note that all documents should be in English or a Scandinavian language.
By applying the candidate confirms that information and documentation submitted via the job application can also be used by NMBU in a possible admission process to the PhD program.
Interviews with the best qualified candidates will be arranged. Applicants invited for an interview are expected to present original diplomas and certificates.
The application must include:
Motivation letter (maximum 1 page)
A short project description (1-2 pages), including a progress plan for the project.
Curriculum Vitae (with a list of education, positions, teaching experience, administrative experience and other qualifying activities, including a complete list of publications)
Certified copies of academic diplomas and certificates. (i.e. Diploma, transcript. Diploma supplement for both bachelor and master). Diplomas, transcripts and diploma supplements that are not in Norwegian or English must be uploaded in the original language. An English translation of these documents must also be attached.
Applicants from universities outside Norway are kindly requested to send a diploma supplement, or a similar document, which describes in detail the study program and grading system.
Additional relevant documentation of professional knowledge (for example, list of scientific works). If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.
