World of Wild Waters focus on gamification of Natural Hazards and aim at bringing together knowledge on physical and statistical behavior of Natural Hazards with knowledge on digital storytelling and human behavior to create immersive user experiences based on real data, realistic scenarios and simulations.
Experiences to be used as basis for preventive and emergency measures to safe live and cost. World of Wild Waters aim at being the future tool for analyzing and communicating cause and effect of potential Natural Hazards as floods and landslides.
Description Norwegian University of Science and Technology (NTNU) has a vacancy for 7 positions as PhD Research Fellows related to the project World of Wild Waters (WoWW).
The project is in NTNU’s strategic portefolio of projects to pursue transformative research on the development and application of Digital Transformation technology.
Multidiciplanarity is a key objective in all the projects and the positions in World of Wild Waters are at four departments at three faculties.
A close cooperation between the PhD research fellows and the departments will be the backbone of World of Wild Waters. More info : https : / / www.
ntnu.edu / digital-transformation
About World of Wild Waters WoWW :
World of Wild Waters is focused on gamification of Natural Hazards and aim at bringing togheter knowledge on the physical and statistical behaviour of Natural Hazards with knowledge on digital storytelling and human behavior to create an immersive user experience based on real data, realistic scenarios and simulations.
Experiences stakeholders, planners, decision makers and emergency agencies can base their preventive and emergency measures at to safe live and cost.
World of Wild Waters aim at beeing the future tool for analyszing and communicating the potential causes and effects of Natural Hazards as floods and landslides.
This is a possibility to shaping the future way of working at a field of high societal importance.
Work description :
Flow landslides in sensitive clay slides, travel far, very rapidly and are a threat to life, property and environment. Runout analyses are needed to identify the elements at risk and to make decisions on the optimum mitigation measures.
Methods and tools exist to predict landslide runout, but few exist for sensitive clays, which usually involve massive soil volumes.
Accordingly, this PhD study shall focus on the development of a new numerical model of flow landslides in sensitive clays to provide improved information that can be useful to estimate flow velocities, deposit thickness and impact pressures.
The numerical model should be based on an appropriate rheology such as Herschel Bulkley rheology and should be able to dynamically compute the depth of the flowing material and shear layer.
Successive development of flow landslide, and the remoulding of sensitive clay during the flow should be considered in the numerical model.
An essential aspect of the PhD work will be related to the visualization of the flow landslides.
Preferably, the applicant should hold a Master’s degree in geotechnical engineering with experience from numerical modelling.
Programming skills are essential. The successful candidate should be enthusiastic, highly motivated and be willing to work independently and in a team.
Ability to cooperate with the WoWW project partners is essential. In the application the candidate is encouraged to present his or hers motivation for this particular PhD study and briefly sketch how he or she expect, intend or hope to contribute to World of Wild Waters project.
The successful candidate must fulfil the requirement for admission to the doctoral program at the Faculty of Engineering, NTNU.
The working languages will be Norwegian and / or English. All applicants must be able to communicate fluently in English (spoken and written).
Candidates from universities outside Scandinavia and English speaking countries are kindly requested to document English language proficiency (TOEFL, IELTS, Cambridge Certificate in Advanced English (CAE) or Cambridge Certificate of Proficiency in English (CPE)).
Conditions PhD Candidates are remunerated in code 1017, and are normally remunerated at gross NOK 436 900 before tax. There will be a 2 % deduction to the Norwegian Public Service Pension Fund from gross wage.
Engagement as a PhD Candidate is done in accordance with Regulation concerning terms and conditions of employment for the posts of post-
doctoral research fellow, research fellow, research assistant and resident , given by the Ministry of Education and Research of 19.
07.2010. The goal of the positions is to obtain a PhD degree. Applicants will engage in an organized PhD training program, and appointment requires approval of the applicants plan for a PhD study within three months from the date of commencement.
The position is of 4 years duration,of which 25% teaching duties.
Working address is at NTNU in Trondheim. For further information about the position, please contact Professor Vikas Thakur, NTNU, Trondheim.
Email : Vikas.Thakur ntnu.no or the leader of Woww project Professor Oddbjørn Bruland Email : oddbjorn.bruland ntnu.no
See https : / / www.ntnu.edu / iv / doctoral-programme for more information.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants. The positions adhere to the Norwegian Government's policy of balanced ethnicity, age and gender.
Women are encouraged to apply.
Master students finishing in June 2018 may apply.
The application must contain information of educational background and work experience. Certified copies of transcripts and reference letters should be enclosed.
Applications with CV, grade transcripts and other enclosures should be submitted via this webpage at www.jobbnorge.no. Mark the application with SO IV-143 / 18.
Start-up date October, 2018 or as soon as possible.
Application deadline is May 27th, 2018
According to the new Freedom of Information Act, information concerning the applicant may be made public even if the applicant has requested not to be included in the list of applicants.