Many ship operation related energy efficiency measures (EEMs) have been developed in the maritime community, but the benefits of those EEMs have not been fully realized in today’s shipping market. Partly due to large uncertainties in a ship’s energy performance models, which are the key components for all the operation related EEMs. As the fast digitalization in shipping, large amounts of ship operation data are being collected, and can be exploited to significantly improve a ship’s performance models and the Energy Efficiency Measures. This PhD position will give you opportunities to develop machine learning/AI model to improve ship performance models and increase accuracy of measured/collected metocean environments encountered by ships, which could be used to improve various energy efficiency measures.
Information about the research project
This PhD position is funded by VINNOVA through the project “AI enhanced EEMs to reduce shipping emissions”. This PhD position and project will contribute to new knowledge and machine learning/AI algorithms development for various complexity of ship performancem models and their exploitation of ship energy efficiency measures, i.e., the AI-enhanced ship operation EEMs. These EEMs will also been disseminated to other shipping companies (to be tested on their ships) within the project consortium. This PhD position will work closely with other PhD students and PostDocs in the research group, as well as requires close cooperation with shipping companies, classification societies and the global maritime community. Therefore, good collabroative and communicative skills will be essential. We also expect that you have an interest to further develop your competence in regards to project management and the various forms of communication needed (orally and in writing, in meetings, at conferences, between project participants and to stakeholders).
Information about the Division of Marine Technology
This PhD position will be a part of the division of Marine Technology. The division carries out fundamental and applied research for enabling the development and improvement of marine technology. The division’s research are divided into four main areas: marine structures, hydrodynamics, safety and reliability, and maritime operations. Through our research we make propellers last longer and be quieter, we reduce the drag and improve the seakeeping properties of hulls, we design structures that perform better in collisions and require lower maintenance, we do all this and much more. All research activities are best presented through our core competences: renewable energy, energy efficiency, structural integrity, hydrodynamics, ship design, safety and reliability, propulsion systems, wave dynamics, and numerical methods. Safety and energy efficiency in ships are at the core of future shipping research and education. The division is responsible for the master program MPMOB with track in Naval Architecture and Ocean Engineering, and is also involved in the seafarers educational programs.
Within the project, the applicant is expected to develop various ship operational performance models to describe a ship’s power consumption in terms of various ship operational and environmental conditions by difference levels of machine learning/AI methods, and implement them in shipping companies’ energy efficiency measures to assist ship operations and decision making. In addition, your major responsibility as a PhD student is to pursue your own doctoral studies, which include work in the research project but also to take doctoral courses. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing; working language is English. The position also includes teaching, primarily in the international master programme in Naval Architecture and Ocean Enigneering or performing other duties corresponding to maximum 15 percent of working hours.
The position is a full-time temporary employment with a time limited to a maximum of 4.5 years. You will be employed by Chalmers and will receive a salary according to current salary agreements.
To qualify for this position as a PhD student, you need a Master of Science (Swedish: civilingenjör) in naval architecture, ocean engineering, transport and logistic engineering or navigation control engineering with emphasis on ship navigation and communication methods. The position requires oral and written communication skills in English. Swedish is not required, but you will be encouraged to learn Swedish during employment.
You are expected to take initiatives, work independently when needed and to take responsibility for your work. Further, the project interacts closely with adjacent disciplines and industry. Thus you need to have strong collaborative skills. Finally, you need to be able to disseminate results and knowledge within existing and new networks. This includes academia, industry and society at large. Experiences from control and optimization methods, big data analysis and machine learning methods, and programming language such as Python, Matlab.
We offer Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg.
Read more about working at Chalmers and our benefits for employees.
Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.
The application should be marked with Ref 20210582 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
CV: (Please name the document: CV, Family name, Ref. number)
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact.
Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. TOEFL test results.
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).
Application deadline: 25 January, 2022
For questions, please contact:
Professor Wengang Mao, Divison of Marine Technology
Phone: +46 (0)31 772 1483
Full Professor Jonas Ringsberg, Head of Division of Marine Technology
*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***
The Department of Mechanics and Maritime Sciences (M2) conducts fundamental and applied research in all modes of transport to achieve sustainable technological solutions. It offers and contributes to bachelor and master programs in areas such as Shipping, Naval Architecture and Ocean Engineering, Automotive and Mechanical Engineering, to mention a few. The department continuously strives to establish and develop collaboration between academia, industry, and society, for improved knowledge transfer in both directions. M2 is characterized by an international environment with employees and students from around the world, as well as outstanding research and world class education. M2 consists of seven different divisions within the areas of engineering and maritime sciences, and one division of administration and support. M2 holds one of Sweden’s most extensive simulator centre for navigation and propulsion of ships, as well as world class laboratories within combustion engineering and wind tunnels.
Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
Read the job description at the university homepage
Post expires on tirsdag januar 25th, 2022