Postdoctoral Fellow in Deep Learning

• English

The Department of Computer Science has a vacancy for a 

NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.

At NTNU, 9,000 employees and 42,000 students work to create knowledge for a better world.

You can find more information about working at NTNU and the application process here .

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The postdoctoral fellowship position is a temporary position where the main goal is to qualify for work in senior academic positions. 

The Postdoctoral fellow will work on the project “Automated machine learning framework tailored to Earth Observation” (ATELIER-EO).

ATELIER-EO will create an automated machine learning framework that will improve the deep learning models quality and significantly decrease the time to prepare and test deep learning models tailored for earth observation applications. The post-doctoral fellow will focus on research and development of deep learning algorithms for handling low-quantity/quality data.

 The project is financed by the Norwegian Research Council and gives a unique opportunity to combine academic and industrial research.

The ATELIER-EO project is coordinated by Science and Technology AS , which is an Earth Observation (EO) company focusing on developing downstream services based on satellite and aerial imagery. NTNU has the role of research partner.

The place of work is at NTNU in Gjøvik.

Your immediate leader is the Head of the Department.

The post-doctoral fellow will focus on deep learning algorithms for handling low-quantity/quality data. This will include: 

• Develop algorithms to tackle the issue of the low amount of labeled data, as well as partial labels.
• Develop algorithms that handle noisy data with outliers.
• Model pre-training and transfer learning.

• You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in machine learning, computer science, image processing or a similar field. If you can document that the PhD thesis has been submitted, your application can be assessed even if you have not yet defended your dissertation. Documentation of the obtained doctoral degree must be presented before you can take up the position.
• Good background in image processing.
• Good background in deep learning.
• Excellent programming skills.
• Very good written and oral English.

The appointment is to be made in accordance with Regulations on terms of employment for positions such as postdoctoral fellow, Ph.D Candidate, research assistant and specialist candidate.

• Experience with semi- or weakly-supervised learning.
• Knowledge of remote sensing.
• Background from working with earth observation data.
• Experience with Pytorch.

• Ability to work independently and in a team.
• Good communication skills.
• Be open-minded.
• Analytical mindset that enjoys coming up with novel solutions.
• Ability to self-study and quickly acquire new knowledge/new skills across technical areas.
• Be committed to delivering work on time.

Emphasis will be placed on personal and interpersonal qualities.

• exciting and stimulating tasks in a strong international academic environment 
• an open and inclusive work environment  with dedicated colleagues 
• favourable terms in the Norwegian Public Service Pension Fund 
• employee benefits 

As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 563 500 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund

The period of employment is 2 years. 

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.

Our knowledge production has civilian objectives. However, the position is likely to be involved with or generate dual use products, technology or services restricted by export licenses or ITAR (International Traffic in Arms Regulations). Applicants that are citizens of Norway, Australia, Israel, Japan, New Zealand, Switzerland, EU or NATO countries are eligible. Other applicants are required to provide evidence of eligibility to use such equipment for their application to be considered/in their application. Furthermore, all international applicants will be subjects to individual assessments according to the applicable guidelines for export control.

After the appointment you must assume that there may be changes in the area of work.

It is a prerequisite you can be present at and accessible to the institution on a daily basis.

The application and supporting documentation to be used as the basis for the assessment must be in English.

Publications and other scientific work must follow the application. Please note that your application will be considered based solely on information submitted by the application deadline. You must therefore ensure that your application clearly demonstrates how your skills and experience fulfill the criteria specified above.

If, for any reason, you have taken a career break or have had an atypical career and wish to disclose this in your application, the selection committee will take this into account, recognizing that the quantity of your research may be reduced as a result.

The application must include:

• CV and certificates.
• Motivation letter that describes your motivation and how your background fits the position.
• Transcripts and diplomas for bachelor's-, master's- and PhD degrees. If you have not yet completed your Ph.D, you must provide confirmation on your estimated date for the doctoral dissertation, or that your PhD thesis has been submitted.
• Academic works - published or unpublished - that you would like to be considered in the assessment (up to 5 items).
• Name and contact information of three referees.

If all, or parts, of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation required can be found here . If you already have a statement from NOKUT, please attach this as well. 
 
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation. 

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal and interpersonal qualities. Motivation, ambitions, and potential will also count in the assessment of the candidates. 

NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA. 

Working at NTNU 

NTNU believes that inclusion and diversity is a strength. We want our faculty and staff to reflect Norway’s culturally diverse population and we continuously seek to hire the best minds. This enables NTNU to increase productivity and innovation, improve decision making processes, raise employee satisfaction, compete academically with global top-ranking institutions and carry out our social responsibilities within education and research. NTNU emphasizes accessibility and encourages qualified candidates to apply regardless of gender identity, ability status, periods of unemployment or ethnic and cultural background.

NTNU is working actively to increase the number of women employed in scientific positions and has a number of resources to promote equality .

The city of Gjøvik has a population of 30 000 and is a town known for its rich music and cultural life. The beautiful nature surrounding the city is ideal for an active outdoor life! The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. 

As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted. 

A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you want to reserve yourself from entry on the public applicant list, this must be justified. Assessment will be made in accordance with current legislation . You will be notified if the reservation is not accepted.

If you have any questions about the position, please contact Professor Marius Pedersen, email [email protected] . If you have any questions about the recruitment process, please contact the HR-team at The Department of Computer Science, e-mail: [email protected] .

If you think this looks interesting and in line with your qualifications, please submit your application electronically via jobbnorge.no with your CV, diplomas and certificates attached. Applications submitted elsewhere will not be considered. Upon request, you must be able to obtain certified copies of your documentation. 

Application deadline: 18.11.22 

NTNU - knowledge for a better world

The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.

Department of Computer Science 

We are the leading academic IT environment in Norway, and offer a wide range of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning technology, HCI, CSCW, IT operations and applied data processing. The Department has groups in both Trondheim and Gjøvik. The Department of Computer Science is one of seven departments in the Faculty of Information Technology and Electrical Engineering .

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