PhD, Machine Learning for Seabed Classification in SONAR

Location
Øya, Norway
Posted
02 Jun 2020
End of advertisement period
31 Jul 2020
Ref
186389
Contract Type
Fixed Term
Hours
Full Time

About the position

Purpose: The purpose of this project is to study the feasibility of extracting geological, chemical and/or biological information of the seabed from the signals received from an echo sounder.

Output: The expected outcome is a method and apparatus able to classify, in real time, the seabed directly below a ship using machine learning techniques. The method should be implementable into the on-board electronics in order to serve the extracted information to the final user. That information can be used to plan fishing operations, avoidance of dangerous or protected zones, and recognition of underwater landmarks.

Supervisors:

Main supervisor: Lasse Løvstakken (NTNU).

Co-supervisors: Alfonso Rodrígues Molares, Assistant Professor, University of Vigo, Spain. Tor Inge Birkenes Lønmo, R&D Engineer, Kongsberg Maritime, Frank Tichy R&D Manager Kongsberg Maritime

Duties of the position

The feasibility of such system will be studied in a bottom – up approach, using training datasets that grow on complexity. We foresee three phases:

  • Simulation phase: We will improve the current tools for simulation of SONAR propagation in heterogeneous media. Based on the knowledge gathered in a previous CIUS project, we aim to build a implementation that includes the physics of specular reflection, propagation through heterogeneous media (absorption, sound speed gradients), and multiple propagation. The resulting simulations will be used to create a training and validating datasets to feed a neural network.
  • Field phase: A database will be built using real world data, acquired in locations with known habitats so that the acoustic cues can be easily annotated. Data could come from previous experimental campaigns, or from field tests specifically design for this purpose. The database will then be divided into training and test and fed into the neural network. The networks may be pre-trained in simulated and/or laboratory data.

This project should also consider if additional data can improve the classification results.

Required selection criteria

The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in [subject area] or equivalent education with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.

The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.

  • A master’s degree or equivalent education with emphasis on theory and methods from acoustics, (bio)physics, mathematics, signal processing, electronics, or computer science, with a weighted-average grade of B or higher, in accordance with NTNU’s grading system
  • Good communication skills in both oral and written English
  • Good analytical and programming skills

Preferred selection criteria

  • Experience within the field of ultrasound in either medicine or industrial applications
  • Experience with methods and / or theory for one of the specific projects listed
  • Prior written, scientific output with relevance

CIUS aims to be a world-leading centre for research and innovation in next-generation ultrasound technologies. Candidates for this position will be selected in accordance with this aim. For some projects, it is imperative that the candidate has a proven ability to work in an experimental setting and is willing and interested in doing laboratory work.

Personal characteristics

  • Good communication abilities
  • Besides technical skills, we are looking for a curious, ambitious candidate who is highly self-motivated to do research and contribute to the innovative work carried out in CIUS

In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.

We offer

Salary and conditions

PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 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 3 years.

Appointment to a PhD position requires that you are admitted to the PhD programme within three months of employment, and that you participate in an organized PhD programme during the employment period.

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 NTNU. 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.

About the application

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 applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above. 

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.

Candidates from universities outside Norway are requested to send a Diploma Supplement or similar official document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree: https://europass.cedefop.europa.eu/documents/european-skills-passport/diploma-supplement. Candidates from non-English speaking countries outside the Nordic countries must provide official documentation of their English competence. Approved tests and results are:

  • TOEFL: 600 / writing 4.5 (paper-based test), 92 / writing 22 (internet- based test)
  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS tests accepted)
  • Cambridge Certificate in Advanced English (CAE) or
  • Cambridge Certificate of Proficiency in English (CPE): grade A or B

General information

A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background. 

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.

Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.

For further information about the positions, please contact either:

Industry liason and researcher, Svein-Erik Måsøy, telephone: +47 92625082 or email: svein-erik.masoy@ntnu.no.

Professor, Lasse Løvstakken, telephone: +47 91347206 or email: lasse.lovstakken@ntnu.no.

For information concerning the application process, please contact: HR Consultant Julie Hoff, telephone: + 47 72576984, email: julie.hoff@ntnu.no

The application is to be accompanied by a cover letter explaining how your background and education fit the goals and requirements of the selected project(s) from the list of available positions. Please submit your application electronically via jobbnorge.no with your  cover letter, CV, diplomas and certificates.

Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).

If you are invited for interview you must include certified copies of transcripts and reference letters.

Application deadline: 31.07.2020

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.

The Department of Circulation and Imaging (ISB) has 260 employees, and its research units are at the Cardiothoracic Centre at St. Olav’s Hospital, integrated with collaborating clinical divisions. The Department of Circulation and Medical Imaging (ISB) includes anaesthesiology, radiology, radiography, ultrasound, magnetic resonance imaging, exercise physiology, cardiovascular physiology, pulmonary physiology, pulmonary medicine, cardiology, vascular surgery, thoracic surgery and biomedical engineering. The department is also responsible for the Centre for Innovative Ultrasound Solutions (CIUS), the Medical Simulation Centre and the MR Centre. More information about the department is available at http://www.ntnu.edu/isb

Deadline 31st July 2020
Employer NTNU - Norwegian University of Science and Technology
Municipality Trondheim
Scope Fulltime
Duration Fixed Term
Place of service Øya

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