Norway Job Openings
UiT Norges Arktiske Universitet
PhD Candidate in “AI-based Data Quality Improvement Framework for Digital Twin in Shipping"
Tromsø
FULL TIME
November 1, 2024
The position
A Ph D position is available at the Department of Technology and Safety, Faculty of Science and Technology with the research group Advanced Maritime Ship Operations.
ITS is organised under the Faculty of Science and Technology and is located at three campuses: Tromsø, Bardufoss and Harstad. The department has approximately 90 employees and approximately 600 students. It offers undergraduate, master’s, and Ph D degree programmes as well as research in the areas of nautical science, aviation, societal safety, environment, and international preparedness.
The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the Ph D programme is a prerequisite for employment, and the programme period starts on commencement of the position.
The workplace is at Ui T in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer.
ITS is organised under the Faculty of Science and Technology and is located at three campuses: Tromsø, Bardufoss and Harstad. The department has approximately 90 employees and approximately 600 students. It offers undergraduate, master’s, and Ph D degree programmes as well as research in the areas of nautical science, aviation, societal safety, environment, and international preparedness.
The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the Ph D programme is a prerequisite for employment, and the programme period starts on commencement of the position.
The workplace is at Ui T in Tromsø. You must be able to start in the position within a reasonable time after receiving the offer.
The position’s field of research
Digital twin technology for ocean-going vessels is key to meeting the decarbonization goals set by the International Maritime Organization (IMO). The Advanced Maritime Ship Operations research group is dedicated to developing and showcasing digital twin models for selected vessels through extensive ship performance and navigation data. The position is funded by the Twin Ship Horizon Europe Project (Twin-Ship.eu), where Ui T is the project coordinator.
Twin Ship Project Summary:
The Twin Ship consortium is spearheading an initiative to transform the maritime sector by creating an alliance of premier maritime technology, solution & service providers, ship design and shipping firms, classification societies, ports, software developers, and research and academic bodies. This collaboration is centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital Twin (DT) enabled Decision Support System (DSS) in the same digital platform, Twin Ship is setting a course for the maritime industry's rapid digital and environmental transformation. The project sets ambitious benchmarks for reducing Greenhouse Gas emissions in international shipping, aiming for a 30-40% reduction by 2030, 80-90% by 2040, and achieving net-zero emissions by 2045, all relative to 2008 levels by utilizing its Pilot Vessels and Futuristic Unmanned Vessel Concept. This initiative focuses on leveraging both existing and emergent clean fuels and technologies, prioritizing renewable energy sources, and the implementation of unmanned vessels. The Twin Ship DT-enabled DSS is crafted to navigate the industry toward achieving these significant environmental targets, demonstrating the consortium's dedication to fostering sustainability and pushing the boundaries of innovation.
Ui T- The Arctic University of Norway will lead this largest European-level project on maritime digitalization supported by machine learning and AI applications toward achieving zero emission vessels under this initiative. The project consortium consists of SINTEF Digital, SINTEF Ocean, Wärtsilä-Finland, Wärtsilä-Voyage Germany, Wärtsilä-Voyage doo Beograd, Institute of Communication and Computer Systems, National Technical University of Athens, American Bureau of Shipping, Grimaldi Group, Stena Line, Stena AB-Teknik, KNUD E. HANSEN, Fundación Valenciaport, ASSIST Software, UBITECH, 52°North Gmb H – and bound4blue.
The utilization of Large Language Models (LLMs) based Knowledge Graphs, associated with Ontologies, for digital twin development of ocean-going vessels, is the main objective of this position. The knowledge graphs will be developed by utilizing ship performance navigation domain knowledge through LLMs and data sets from selected vessels, on the Vessel AI digital platform that has been developed under the Vessel AI H2020 project (vessel-ai.eu). The same digital platform will adopted for the Twin Ship Horizon Europe project, where one version of the Advanced Vessel AI platform will be established at Ui T. It is expected that the Ph D candidate will implement the LLMs to develop Knowledge Graphs on the same platform to support extended digital twin development for the maritime industry.
The objective of the Ph.D. position is to develop:
Twin Ship Project Summary:
The Twin Ship consortium is spearheading an initiative to transform the maritime sector by creating an alliance of premier maritime technology, solution & service providers, ship design and shipping firms, classification societies, ports, software developers, and research and academic bodies. This collaboration is centered around a unique, open-source digital platform enriched with data and powered by domain knowledge-based advanced machine learning and artificial intelligence capabilities. By introducing a Digital Twin (DT) enabled Decision Support System (DSS) in the same digital platform, Twin Ship is setting a course for the maritime industry's rapid digital and environmental transformation. The project sets ambitious benchmarks for reducing Greenhouse Gas emissions in international shipping, aiming for a 30-40% reduction by 2030, 80-90% by 2040, and achieving net-zero emissions by 2045, all relative to 2008 levels by utilizing its Pilot Vessels and Futuristic Unmanned Vessel Concept. This initiative focuses on leveraging both existing and emergent clean fuels and technologies, prioritizing renewable energy sources, and the implementation of unmanned vessels. The Twin Ship DT-enabled DSS is crafted to navigate the industry toward achieving these significant environmental targets, demonstrating the consortium's dedication to fostering sustainability and pushing the boundaries of innovation.
Ui T- The Arctic University of Norway will lead this largest European-level project on maritime digitalization supported by machine learning and AI applications toward achieving zero emission vessels under this initiative. The project consortium consists of SINTEF Digital, SINTEF Ocean, Wärtsilä-Finland, Wärtsilä-Voyage Germany, Wärtsilä-Voyage doo Beograd, Institute of Communication and Computer Systems, National Technical University of Athens, American Bureau of Shipping, Grimaldi Group, Stena Line, Stena AB-Teknik, KNUD E. HANSEN, Fundación Valenciaport, ASSIST Software, UBITECH, 52°North Gmb H – and bound4blue.
The utilization of Large Language Models (LLMs) based Knowledge Graphs, associated with Ontologies, for digital twin development of ocean-going vessels, is the main objective of this position. The knowledge graphs will be developed by utilizing ship performance navigation domain knowledge through LLMs and data sets from selected vessels, on the Vessel AI digital platform that has been developed under the Vessel AI H2020 project (vessel-ai.eu). The same digital platform will adopted for the Twin Ship Horizon Europe project, where one version of the Advanced Vessel AI platform will be established at Ui T. It is expected that the Ph D candidate will implement the LLMs to develop Knowledge Graphs on the same platform to support extended digital twin development for the maritime industry.
The objective of the Ph.D. position is to develop:
- Development of a Data Quality Improvement Framework to detect, classify, isolate, and recover sensor data anomalies from ship performance data
- Formulating a Data Quality Governance Strategy that includes data anomaly detection, isolation, and classification mechanisms
- Utilization of Knowledge Graphs to develop data anomaly knowledge databases to support the Data Quality Governance Strategy
- Develop a recovery strategy to improve data quality
- Applying Machine learning algorithms of data clustering and regressions for the above applications through ship performance and navigation data sets
- Integrate the Data Quality Improvement Framework as a part of digital twin development
- Support quantification of ship performance by digital twin applications in shipping
Contact
For further information about the position, please contact Professor Lokukaluge Prasad Perera:
- email: prasad.perera@uit.no
- email: bjorn.batalden@uit.no
Qualifications
This position requires a master’s degree or equivalent in subject Information Technology, Computer Science, Cybernetics, Physics, Mathematics, Statistics, Nautical Science, Maritime Technology, or a similar field with some sea-going experience and stronger software development experiences, and any other requirements. The Master’s degree should be recognized as equivalent to a 2-year Norwegian Master’s degree. The grade for the Master´s degree should at least be a B.
Applicants must document fluency of in English and be able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma. Working knowledge of Norwegian or a Scandinavian language is also beneficial.
It is preferable if the candidate has knowledge and experience within the following fields:
In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis, or equivalent, relevant background and any other scientific work. In addition, other experience of significance for the completion of the doctoral programme may be given consideration.
We will also emphasize motivation and personal suitability for the position. We are looking for candidates who:
Applicants must document fluency of in English and be able to work in an international environment. Nordic applicants can document their English capabilities by attaching their high school diploma. Working knowledge of Norwegian or a Scandinavian language is also beneficial.
It is preferable if the candidate has knowledge and experience within the following fields:
- Vessel navigation and operational knowledge & experiences.
- Emission control rules and regulations in the shipping industry.
- Large Language Model-based application development.
- Knowledge Graph Development for Sensor Data.
- Deep Learning techniques, Data Engineering, and Semantic Technologies
- Open-source artificial intelligence, machine learning, statistical estimation methods, software tools, and big-data frameworks.
- Programming languages such as e.g. Python, C++, and LABVIEW.
In the assessment, the emphasis is on the applicant's potential to complete a research education based on the master's thesis, or equivalent, relevant background and any other scientific work. In addition, other experience of significance for the completion of the doctoral programme may be given consideration.
We will also emphasize motivation and personal suitability for the position. We are looking for candidates who:
- Have good collaboration skills
- Have good communication and interaction with colleagues and students
- Wants to contribute to a good working environment
Admission to the Ph D programme
For employment in the Ph D position, you must be qualified for admission to the Ph D programme at the National Joint Ph D Program in Nautical Operations and participate in organized doctoral studies within the employment period.
Admission normally requires:
Admission normally requires:
- A bachelor's degree of 180 ECTS and a relevant master's degree, or an integrated master's degree.
A weighted grade average for the master's degree equal to B or better is normally required for admission. Exceptions to these admission rules can be considered if the candidate has a minimum grade average of C (3.0) and can document particular suitability for a Ph D education.
A more detailed description of admission requirements can be found here.
Applicants with a foreign education will be subjected to an evaluation of whether the educational background is equal to Norwegian higher education, following national guidelines from NOKUT. Depending on which country the education is from, one or two additional years of university education may be required to fulfil admission requirements, e.g. a 4-year bachelor's degree and a master's degree.
If you are employed in the position, you will be provisionally admitted to the Ph D program. Application for final admission must be submitted no later than three months after taking up the position.
A more detailed description of admission requirements can be found here.
Applicants with a foreign education will be subjected to an evaluation of whether the educational background is equal to Norwegian higher education, following national guidelines from NOKUT. Depending on which country the education is from, one or two additional years of university education may be required to fulfil admission requirements, e.g. a 4-year bachelor's degree and a master's degree.
If you are employed in the position, you will be provisionally admitted to the Ph D program. Application for final admission must be submitted no later than three months after taking up the position.
Inclusion and diversity
Ui T The Arctic University of Norway is working actively to promote equality, gender balance and diversity among employees and students, and to create an inclusive and safe working environment. We believe that inclusion and diversity are a strength, and we want employees with different competencies, professional experience, life experience and perspectives.
If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite at least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.
If you have a disability, a gap in your CV or immigrant background, we encourage you to tick the box for this in your application. If there are qualified applicants, we invite at least one in each group for an interview. If you get the job, we will adapt the working conditions if you need it. Apart from selecting the right candidates, we will only use the information for anonymous statistics.
Ui T
We offer
More practical information about working and living in Norway can be found here: https://uit.no/staffmobility
- Involvement in an interesting research project
- Good career opportunities
- A good academic environment with dedicated colleagues
- Flexible working hours and a state collective pay agreement
- Pension scheme through the state pension fund
- Ph D Fellows are normally given a salary of 532 200 NOK/year with a 3% yearly increase
- If you have to relocate to Tromsø then the Faculty of Science and Technology may reimburse your moving costs. Further details regarding this matter will be made available if you receive an offer from us.
More practical information about working and living in Norway can be found here: https://uit.no/staffmobility
Application
Your application must include:
All documentation to be considered must be in a Scandinavian language or English. Diplomas and transcripts must also be submitted in the original language, if not in English or Scandinavian. If English proficiency is not documented in the application, it must be documented before starting in the position. We only accept applications and documentation sent via Jobbnorge within the application deadline.
- Cover letter explaining your motivation and research interests
- CV
- Diploma for bachelor's and master's degree
- Transcript of grades/academic record for bachelor's and master's degree
- Explanation of the grading system for foreign education (Diploma Supplement if available)
- Documentation of English proficiency
- Documentation of proficiency in Norwegian (or a Scandinavian language) if applicable
- 2-3 references with contact information
- Master’s thesis, and any other academic works
All documentation to be considered must be in a Scandinavian language or English. Diplomas and transcripts must also be submitted in the original language, if not in English or Scandinavian. If English proficiency is not documented in the application, it must be documented before starting in the position. We only accept applications and documentation sent via Jobbnorge within the application deadline.
General information
The appointment is made in accordance with State regulations and guidelines at Ui T. At our website, you will find more information for applicants.
The engagement is to be made in accordance with 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.
After the appointment you must assume that there may be changes in the area of work.
Remuneration for the position of Ph D Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits in addition to a lifelong pension: You may be entitled to financial support if you become ill or disabled, your family may be entitled to financial support when you die, you become insured against occupational injury or occupational disease, and you can get good terms on a mortgage. Read more about your employee benefits at: spk.no.
The engagement is to be made in accordance with 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.
After the appointment you must assume that there may be changes in the area of work.
Remuneration for the position of Ph D Fellow is in accordance with the State salary scale code 1017. A compulsory contribution of 2 % to the Norwegian Public Service Pension Fund will be deducted. You will become a member of the Norwegian Public Service Pension Fund, which gives you many benefits in addition to a lifelong pension: You may be entitled to financial support if you become ill or disabled, your family may be entitled to financial support when you die, you become insured against occupational injury or occupational disease, and you can get good terms on a mortgage. Read more about your employee benefits at: spk.no.
A shorter period of appointment may be decided when the Ph D Fellow has already completed parts of their research training programme or when the appointment is based on a previous qualifying position Ph D Fellow, research assistant, or the like in such a way that the total time used for research training amounts to three years.
We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure.
We process personal data given in an application or CV in accordance with the Personal Data Act (Offentleglova). According to the Personal Data Act information about the applicant may be included in the public applicant list, also in cases where the applicant has requested non-disclosure. You will receive advance notification in the event of such publication, if you have requested non-disclosure.
Eallju - Developing the High North
Ui T The Arctic University of Norway is a multi-campus comprehensive university at the international forefront. Our vision is to be a driving force for developing the High North. The Northern Sami notion eallju, which means eagerness to work, sets the tone for this motive power at Ui T. Along with students, staff and the wider community, we aim to utilise our location in Northern Norway and Sápmi, our broad and diverse research and study portfolio and interdisciplinary advantage to shape the future.
Our social mission is to provide research-based education of high quality, perform artistic development and carry out research of the highest international quality standards in the entire range from basic to applied. We will convey knowledge about disciplines and contribute to innovation. Our social mission unites Ui T across various studies, research fields and large geographical distances. This demands good cooperation with trade and industry and civil society as well as with international partners. We will strengthen knowledge-based and sustainable development at a regional, national and international level.
Our social mission is to provide research-based education of high quality, perform artistic development and carry out research of the highest international quality standards in the entire range from basic to applied. We will convey knowledge about disciplines and contribute to innovation. Our social mission unites Ui T across various studies, research fields and large geographical distances. This demands good cooperation with trade and industry and civil society as well as with international partners. We will strengthen knowledge-based and sustainable development at a regional, national and international level.
Academic freedom and scientific and ethical principles form the basis for all Ui T’s activities. Participation, co-determination, transparency and good processes will provide the decision-making basis we need to make wise and far-sighted priorities. Our students and staff will have the opportunity to develop their abilities and potential. Founded on academic integrity, we will be courageous, committed and generous in close contact with disciplines, people and contemporary developments.
We will demonstrate adaptability and seek good and purposeful utilisation of resources, so we are ready to meet the expectations and opportunities of the future. We will strengthen the quality and impact of our disciplines and core tasks through the following three strategic priority areas.
We will demonstrate adaptability and seek good and purposeful utilisation of resources, so we are ready to meet the expectations and opportunities of the future. We will strengthen the quality and impact of our disciplines and core tasks through the following three strategic priority areas.
Deadline
20th November 2024
20th November 2024
Employer
Ui T The Arctic University of Norway
Ui T The Arctic University of Norway
Municipality
Tromsø - Romsa
Scope
Fulltime
Fulltime
Duration
Fixed Term
Fixed Term
Place of service
Hansine Hansens veg18, 9019 Tromsø
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