At the Technical Faculty of IT and Design, Department of Architecture, Design and Media Technology, a position as Postdoc in Remote Sensing and Machine Learning is open for appointment from July 1st, 2022, or soon hereafter and for a period of 2 years. The Department of Architecture, Design, and Media Technology has as its goal the development of an innovative cluster of engineering-based environments for education and research which integrate creativity, engineering and technology within the disciplines of architecture, urban design, industrial design, digital design and interactive media. The department is a leading research and educational environment in Denmark that addresses the challenge of the interplay between creativity and technology, and develops new areas in research and education directed towards the end-user. The workplace is Aalborg.
JOB DESCRIPTION
An open position as Postdoctoral Researcher for two years is available with the Visual Analysis and Perception Laboratory research group. The postdoc will work on the research project “ReDoCO2 Reducing and Documenting CO2 emissions from Peatlands” which is an interdisciplinary project funded by Innovation Fund Denmark through their Grand Solutions program.
You will work on machine learning and data processing for mapping soil organic carbon, peat thickness, and water table depth in a joint collaboration between the Department of Architecture, Design & Media Technology at Aalborg University and the Department of Agroecology (AGRO) at Aarhus University.
About the project:
Depending on their present condition, peatlands can store a huge amount of carbon or be a source of carbon dioxide (CO2), which is a crucial challenge globally. In Denmark, peatlands constitute a key target to achieve the national goal of reducing CO2 emissions with 70% by 2030. Thus, there is a great need to investigate the spatial variability of peat soil properties, in order to assess the total amount of carbon stored in these soils. Through the combination of state-of-the-art hardware, software, modeling techniques and IT technologies, the project will develop an overall methodology to map peatlands in detail and enable accurate estimates of CO2 emissions and potential carbon stocks. This methodology will provide decision-makers with detailed information and cost-effective tools to appropriately select which peatland areas to take out of agricultural production and restore. Notably, the combination of the drone-mounted cutting-edge geophysical sensors, advanced 2D modeling techniques and 3D software will be a game changer for peatland mapping both nationally and worldwide.
The successful applicant should have a relevant PhD and experience with machine learning. Moreover, the successful applicant should be fluent in English (both oral and written), have strong programming and math skills, and be familiar with R or python (or similar tools). Expertise within remote sensing and graph neural networks is an advantage.
The Visual Analysis and Perception Laboratory at Aalborg University has conducted research within computer vision and machine learning for more than 10 years. The lab contributes scientifically and practically to the project within all aspects related to data integration and machine learning. The lab expects to advance their general competences of applying data science in relation to soil science, and in particular applying deep learning algorithms to diverse data types.
You may obtain further information from Professor Thomas B Moeslund, phone: +45 9940 8787, email: tbm@create.aau.dk concerning the scientific aspects.
Qualification requirements:
Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. The research potential of each applicant will be emphasized in the overall assessment. Appointment as a Postdoc cannot exceed a period of four years in total at Aalborg University.
The application must contain the following:
- A motivated text wherein the reasons for applying, qualifications in relation to the position, and intentions and visions for the position are stated.
- A current curriculum vitae.
- Copies of relevant diplomas (Master of Science and PhD). On request you could be asked for an official English translation.
- Scientific qualifications. A complete list of publications must be attached with an indication of the works the applicant wishes to be considered. You may attach up to 5 publications.
- Dissemination qualifications, including participation on committees or boards, participation in organisations and the like.
- Additional qualifications in relation to the position. References/recommendations.
- Personal data.
The applications are only to be submitted online by using the "Apply online" button below.
Shortlisting will be applied. After the review of any objections regarding the assessment committee, the head of department, with assistance from the chair of the assessment committee, selects the candidates to be assessed. All applicants will be informed as to whether they will advance to assessment or not.
AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.
For further information concerning the application procedure please contact Gritt Larsen by mail est-st-hr@adm.-aau.dk or phone (+45) 9940 3892. Information regarding guidelines, ministerial circular in force and procedures can be seen here
AGREEMENT
Employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministry of Finance's current Job Structure for Academic Staff at Universities. Employment and salary are in accordance with the collective agreement for state-employed academics.
VACANCY NUMBER
2022-224-04614
DEADLINE
Fri Jun 03 00:00:00 CEST 2022
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