Postdoc Fellow

About the position:

There is a postdoc fellow position (2 years duration) in Artificial Intelligence for Satellites Images Analysis. The research is a collaboration between the Western Norway University of Applied Sciences, Norwegian industries, and the European Space Agency.

The research will be focused on, but not limited to, developing deep learning architectures for image segmentation and object detection in satellite imageries using high-resolution and lowresolution images. Exploring context and texture in satellite imagery over a combination of SAR and optical images is particularly important. The research also includes developing new AI solutions for data fusion and analytics to characterize and predict the risk of vegetation, natural disasters, and extreme weather events, specifically on infrastructure networks (e.g., power lines). Following are example research tasks that the candidate may touch on during his/her work:

Analyzing earth observation data (optical, SAR, and LiDAR) using machine learning Integration of satellite, aerial/drone, weather, and in situ observation data to model vegetation near infrastructure networks.

Integration of satellite imagery data with climate and meteorological data to do a risk assessment for infrastructure networks. For more information, please check the GridEyeS (https://business.esa.int/projects/grideyes) project page, Ci2Lab (https://www.ci2lab.com/) webpage, and Prof. Arghadeh Google Scholar (https://scholar.google.com/citations?hl=en&user=tDE4beoAAAAJ&view_op=list_works&sortby=pubdate) for recent publications.

The postdoc candidate will be part of the Connectivity, Information & Intelligence Lab (Ci2Lab) led by Prof. Reza Arghandeh and the Data Science Group in the Department of Computer Science, Electrical Engineering, and Mathematical Sciences at the Western Norway University of Applied Sciences (HVL). The research environment at Western Norway University of Applied Sciences (HVL)
strongly focuses on AI as an enabling technology with many international and European collaborations.

The position is located in Bergen, the university's main campus. Bergen is the Gateway to the Fjords of Norway. As a UNESCO World Heritage City and a European City of Culture, the Bergen region has the ideal combination of nature, culture, and exciting urban life all year round.

• A PhD degree in remote sensing, computer science, electrical eng, civil eng, applied mathematics, and other related fields.
• Practical Python programming skill
• Background in computer viosn and image processing and GIS
• Knowledge in any areas of remote sensing.

In addition to the required educational and technical background, we will consider the following
aspects during the evaluation:

• Competence and grades on completed course work, quality of the PhD's work (excellent grade, the equivalent of grade B or better on the ECTS grading system),
• Publications, research, and industrial experience (if any).
• Proficiency in both written and oral English.
• Personal and relational qualities, in addition to ambitions and potential.
• The candidate must be diligent and display the ability to work independently, supplemented with
• regular guidance, and is expected to carry out high-quality research and publish the results in
• international conferences and journals.

Applications will be evaluated by an expert panel of three members. Applicants are asked to submit their applications and documents online. Please use the link "Apply for this job" ("Søk stillingen").

The following documentation should also be uploaded as an attachment to the online application:

• GridEyeSproject Al ECTSgrading
• A CV with a list of related course works plus a list of academic publications, BS, MS , and PhD Transcripts in English, PhD Thesis only if it is in English (one page abstract for non-English thesis)
• A project plan (maximum 2 pages, describing the topic, data requirements, choice of theory and method, as well as plan for carrying out such a project),
• Copies of up to 2 selected academic publications.

If the documents submitted are not in English or in a Scandinavian language, the applicants must submit certified translations of these. In addition, the transcripts must specify the topics, the course works, and the grades at the bachelor's and master's degree levels.

Applicants should note that the evaluation will be based on the documentation submitted electronically via Jobbnorge within the submission deadline. The applicants are responsible for ensuring that all the documentation is submitted before the closing date. It is of utmost importance that all publications to be considered in the evaluation are uploaded as an attachment with the application since these are sent electronically to the expert panel. Applications cannot be sent by e-mail or to individuals at the college.

• Good occupational pension, insurance and loan schemes from The Norwegian Public Service Pension Fund
• Exciting academic environment with the possibility of competence enhancement and development
• Opportunities for training within the working hours 

The position as Postdoctoal Fellow is paid according to the Government's salary regulation, in position code 1354 - Postdoctor

There is a compulsory 2 % deduction to the pension fund (see http://www.spk.no (http://www.spk.no) for more information). The successful applicant must comply with the guidelines that apply to the position at any time.

The appointment will be made in accordance with the regulations for State employees Law in Norway ("Lov om statens ansatte)". Organizational changes and changes in the duties and responsibilities associated with the position must be expected.

State employment shall reflect the multiplicity of the population at large to the highest possible degree. Western Norway University of Applied Sciences Bergen has therefore adopted a personnel policy objective to ensure that we achieve a balanced age and gender composition and the recruitment of persons of various ethnic backgrounds.

Information about the applicant may be made public even though the applicant has requested not to be named in the list of applicants. The applicant will be notified if his/her request is not respected.

Short-listed applicants will be called in for an interview.

Employed on condition that you are granted a work and residence permit (must be considered individually).

1) Professor Reza Arghandeh, phone: +47 55 58 71 95,
e-mail: rajo@hvl.no

Western Norway University of Applied Sciences shall be a university with a clear professional and working life-oriented profile.

Through education, research and development we create new knowledge and expertise, anchored internationally and with solutions that work locally.

Homepage (http://www.hvl.no)

Video: https://www.youtube.com/watch?v=f_NjRp_Zoyo (https://www.youtube.com/watch?v=f_NjRp_Zoyo)