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.

Faculty of Information Technology and Electrical Engineering

Department of Engineering Cybernetics (ITK)

Postdoctoral research fellowship position in Data Driven Automated Planning and Execution on Autonomous Marine Robotic Platforms

The position’s field of research/research project

 

This Postdoctoral position is related to a highly interdisciplinary project which targets fundamental research questions in the fields of Autonomous control, Robotic Vision, Machine Learning, Artificial Intelligence (AI) and Control Theory for the use in microbiology and oceanography. The project aims to image, process and analyze plankton images taken from the upper water­ column by a mobile autonomous underwater vehicle (AUV), thereby autonomously target specific microbiological taxa using goal driven commanding.

 

The Postdoctoral position entails significant knowledge and experience with Automated Planning and Execution and how it ties into deliberation embedded on an AUV. It will build upon existing capability in decision-making architectures such as the Teleo-Reactive EXecutive (T-REX) which has a space borne legacy from two NASA missions, one in deep space, the other on the surface of Mars. The research will entail building new search methods for plan synthesis and execution, extending these search methods towards anomaly detection and response as well as building domain models for automated planning which tie into Statistical Sampling methods as well as low-level control.

 

The successful candidate will be appointed for a period of 3 years.

 

Qualification requirements

 

Successful applicants must within the period of employment have a PhD in computer science, artificial intelligence, mathematics, cybernetics, or a similar field with a solid background in mathematics. A background in robotics and/or control would be a distinct advantage. A keen appreciation, if not understanding, of upper water column biology will be a plus. The candidate must be willing and able to go to sea extensively and work in the field. Demonstrated ability to translate deep theory into practice and ability to write well-articulated first-author publications in peer-reviewed journals is a must. This position is within a highly inter-disciplinary group – the candidate as a result must be able to articulate her/his ideas and be open to those well outside her/his comfort zone.

 

Applicants will be required to justify their candidacy by explicitly explaining their personal motivation and academic aptitude for this position and its inter-disciplinary nature. Applicants that expect to complete their PhD by early Spring 2018 can apply. Applicants must have significant programming experience, in C, C++, Python and Java. Programming knowledge of Matlab will be a plus.

 

Academic results, publications, relevant specialization, work or research experience, personal qualifications, motivation and a desire to make an impact on critical societal problems will be considered when evaluating the applicants.

 

Excellent English skills, written and spoken, are required. Applicants from non-European or North American countries where English is not the official language must present an official language test report. The following tests can be used as such documentation: TOEFL, IELTS or Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE). Minimum scores are:

 

  • TOEFL: 600 (paper-based test), 92 (Internet-based test)

  • IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS test accepted)

  • CAE/CPE: grade B or A

Formal regulations


Appointments will be made in accordance with current university regulations. The successful applicant must agree to the conditions laid down for public employees and must sign a contract regulating the starting date and the duration of the employment.

 

Salary conditions


The position follows code 1352, salary grade range from 57 in the Norwegian State salary scale, gross NOK 490 900 per year, depending on qualifications. A deduction of 2% is made as a statutory contribution to the Norwegian Public Service Pension Fund.

 

Contact:


The main supervisor will be Professor Kanna Rajan (Kanna.Rajan@ntnu.no ) at the Department of Engineering Cybernetics, with co-supervision by Professor Annette Stahl (annette.stahl@ntnu.no ), Professor Geir Johnsen and Professor Nicole Aberle-Malzahn at the Department of Biology. The research activity will be associated with the Center of Excellence on Autonomous Marine Operations and Systems (AMOS) at NTNU (https://www.ntnu.edu/amos ).

 

General


NTNU can offer an informal and friendly workplace with dedicated colleagues, academic challenges and attractive schemes for home loans, insurance and pensions in the Norwegian Public Service Pension Fund.

 

Further details about the position can be obtained from Professor Kanna Rajan, e-mail: Kanna.Rajan@ntnu.no .

 

The Faculty of Information Technology and Electrical Engineering wants to attract outstanding and creative candidates who can contribute to our ongoing research activities. We believe that diversity is important to achieve a good, inclusive working environment. We encourage all qualified candidates to apply, regardless of the gender, disability or cultural background.

 

Under Section 25 of the Freedom of Information Act, information about the applicant may be made public even if the applicant has requested not to have his or her name entered on the list of applicants.

 

Applicants are kindly requested to send a diploma supplement or a similar document, which describes in detail the study and grading system and the rights for further studies associated with the obtained degree.

 

The application with a CV and certified copies of diplomas and certificates must be sent electronically via this page, with information about education and relevant experience (all in one combined PDF file).

 

Mark the application IE 136-2017.

 

Deadline for applications: 2018-02-20.

 

Søk stillingen

Om stillingen

  • Søknadsfrist
    20. februar 2018
  • Arbeidsgiver
    NTNU - Norwegian University of Science and Technology
  • Nettside
  • Kommune
    Trondheim
  • Arbeidssted
    Trondheim
  • Jobbnorge-ID
    145947
  • Intern-ID
    IE 136-2017
  • Omfang
    Heltid
  • Varighet
    Prosjekt

Om søknader

  • Søknader for denne stillingen registreres i et elektronisk skjema på jobbnorge.no
  • Du må fylle ut: Standard CV
  • Vennligst opplys i søknaden hvor du først så stillingsutlysningen!

Se mer

Finn andre stillinger