挪威特罗姆瑟大学航运技术整合博士后职位

挪威特罗姆瑟大学航运技术整合博士后职位

Postdoctoral Fellow in AI for Energy Efficiency & Emission Reduction Technology Integration in Shipping

Job Description

Faculty of Science and Technology/ Department of Technology and Safety

Postdoctoral Fellow in AI for Energy Efficiency & Emission Reduction

Technology Integration in Shipping

The position

The Department of Technology and Safety (ITS), has a Postdoctoral position under the study programme of nautical science and the research group Advanced Maritime Operations. The research group has, amongst others, access to state- of-the-art ship simulator labs and several research vessels. This Postdoctoral position is funded by the Horizon 2020 research project: Next Generation Short-sea Ship Dual-fuel Engine and Propulsion Retrofit Technologies (SeaTech). The position will contribute with guest lectures, research results for further development of the relevant courses, and supervision of masters and PhD students for the relevant study programmes.

The position is a fixed term position for a duration of 3 years. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work in top academic positions. It is a prerequisite that the applicant is able to carry out the project over the full course of the employment period. No person may hold more than one fixed-term position as a Postdoctoral Research Fellow at the same institution.

The position will additionally be assigned to teaching and related work for UiT in an amount equivalent to a maximum 25 % of a full-time employment.

The workplace is at UiT in Tromsø. You must be able to start in the position within a reasonable time, within 6 months after receiving the offer.

The project/position's field of research

The SeaTech project proposes to develop two symbiotic ship engine and propulsion innovations, that when combined, lead to an increase of 30% in fuel efficiency and radical emission reductions of 99% for NOx, 99% for SOx, 46% for CO₂ and 94% for particulate matter. The innovations will be characterized by high retrofitability, maintainability and offer ship owners a return-on- investment of 400% due to fuel and operational cost savings. The proposed renewable-energy-based propulsion innovation is the bio-mimetic dynamic wing mounted at the ship bow to augment ship propulsion in moderate and higher sea states, capturing wave energy, producing extra thrust and damping ship motions. The proposed power generation innovation is based on the idea of achieving ultra-high energy conversion efficiency by precisely controlling the engine for achieving radically reduced emissions. The ultimate objective of the project is to upscale both technologies, demonstrate them in relevant environment and finally model the expected complementarities and synergy effects of deploying both innovations on a short-sea vessel scenario by extrapolating demonstration data with the help of a bespoke Advanced Data Analytics Framework based on AI.

The SeaTech consortium consists of large industry partners (Wärtsilä Finland/Netherlands and the Norwegian ship-owner Utkilen), two SMEs (Huygens Engineers from the Netherlands and Liewenthal from Estonia) and three universities (National Technical University of Athens, University of Southampton and UiT The Arctic University of Norway)

The objectives of the PostDoc position are to develop the advanced data analytics framework, based on artificial intelligence, machine learning and statistical estimation tools and techniques, to integrate two symbiotic ship engine and propulsion innovations through the respective data sets in this project. These data analytics consists of an engine-propeller combinator diagram, where the respective engine operational modes are represented by sensor data from the engine innovation. Then, sensor data from the propulsion innovation will also be integrated within the same combinator diagram as a part of the advanced data analytics framework. The ultimate outcome of the advanced data analytics Framework is to derive the respective key performance indicators (KPIs) that relate to propulsion power vs. engine emissions, system installation, operational, & maintenance costs vs. benefits and environmental impact. These KPIs will be used to quantify the performances of both innovations.

Qualifications

The position requires a recognized Norwegian PhD or equivalent with a weighted grade average for the PhD degree equal to B or better. The applicant must have a grade of B or better for the master's thesis. The PhD degree must be within Information Technology, Computer Science, Cybernetics, Physics, Mathematics, Statistics, Nautical Science, Maritime Technology, Mechanical/ Electrical Engineering or similar.

Emphasis will be attached to the applicant's potential for research as shown by:

Doctoral thesis

any other academic works

In addition, consideration may be given to work experience or other activities of significance for the implementation of the postdoc. It is an advantage with knowledge and experience with:

Marine engine and emission reduction technologies

Life cycle and cost analysis

Programming languages such as e.g. MATLAB, Python and/or C++

Machine learning and artificial intelligence algorithms

Open source artificial intelligence, machine learning, and statistical estimation software tools and big-data frameworks

Very good communication skills in both written and spoken English is required. The applicants must be able to document proficiency in English equivalent to Norwegian Higher Education Entrance Qualification, more information on how this is documented can be found here.

Qualification with a PhD is required before commencement in the position. If you're at the final stages of your PhD, you may still apply if you have submitted your PhD thesis for evaluation within the application deadline. You must submit the thesis with your application. You should have dissertated before the preferred start-up date of the position.