Research Fellow in Maritime Situational Awareness

Job Summary: The School of Engineering is looking to recruit a Research Fellow who will work on a European Research Council (ERC) project (https://erctrust.com/) to develop a holistic data analysis, risk analysis, and risk assessment framework focused on big data mining and safety modelling of container transportation, especially autonomous ships. The task would involve analysing the situational awareness in container transportation according to the multi-resources data, planning the customary and safe routes for autonomous ships, detecting and identifying the potential risks (including Arctic shipping), optimising the shipping network of container transportation, developing new frameworks and models for quantitative risk-based resilience and sustainability studies in container supply chains (CSCs), establishing qualitative and quantitative risk database, and validating the frameworks and models with different cases. You will use machine learning, deep learning, and anti-collision techniques to improve the safety of autonomous ships under different risk scenarios, which provides useful insights for rational decision-making. The successful applicant will assist with the planning, coordination, and implementation of the project and research resources, as well as contribute to publications and dissemination of research outputs, including presentations at project working meetings and related conferences., deep learning methods. In addition, you should have relevant experience in data mining, prediction analysis, risk modelling, abnormal behaviour identification, and anti-collision research. It is necessary for the applicants to demonstrate their research ability and skill for dissemination of research results via high-quality publications in leading international journals and refereed international conferences. Experience in research projects relating to maritime transportation, situation awareness, collision avoidance, and transportation risk identification and visualisation is desirable. The post is financially supported by the ERC https://erc.europa.eu/), and the successful applicant will work with a team of 11 postdoctoral/doctoral researchers in this ERC project on container transport risk, resilience, and sustainability analysis within the Liverpool Logistics Offshore and Marine Research Institute (LOOM) at Liverpool John Moores University, UK. LOOM enjoys an international research reputation on maritime risk studies, https://www.ljmu.ac.uk/research/centres-and-institutes/loom ., Research

• Liaise with other project researchers and project investigators to coordinate and
prioritise the research activities.
• Have a main role in leading and managing the project to ensure its progress including
preparation of both technical and administrative documents, attendance of project meetings, and reports on progress on a bi-weekly basis.
• Maintain awareness of and take measures to achieve project deliverables and
milestones.
• Undertake the collection of research data; this may be through a variety of research
methods, such as scientific experimentation, literature reviews, and research interviews.
• Design, implement, test and document appropriate research methods associated with
the particular area of research.
• Plan the customary and safe routes for the autonomous ship.
• Detect and identify the potential risk of container transportation.
• Optimise the shipping routes of container transportation.
• Develop new frameworks for risk-based resilience and sustainability studies in CSCs.
• Validate the frameworks and models using the case.
• Use machine learning, deep learning, and large model techniques together to improve
the safety of autonomous ships under different risk scenarios.
• Contribute to publications and dissemination of the research outputs, including
presentations at project working meetings and related conferences.
• Analyse the moving features and hidden patterns in maritime transportation according to
the multi-resources data.
• Responsible for supporting the delivery of software projects, helping to develop and
support collaborating researchers by assisting through the use of technical skills.
• Contribute to the development of new models, techniques, and methods for maritime
situational awareness.
• Travel to overseas for data collection and case studies.
• Publish results in international leading journals in transportation and maritime science
areas with the research team.
• Identify potential sources of funding and contribute to the process of securing funds.
• Contribute to the planning and implementation of commercial and consultancy activities.
Leadership and management
• Manage research resources and budgets and ensure effective use is made of them.
• Supervise the work of others in research teams or projects.
Teaching and Learning
• Be involved in the assessment of student knowledge and supervision of projects.
• Assist in the development of student research skills.
Citizenship
• Contribute to a supportive working environment and develop productive working
relationships with other team members.
• Attend and contribute to staff meetings.
• Contribute to wider school/university activities, e.g., open days, student welcome,
graduation and clearing events.
• Act as an ambassador for the University in all interactions with current and prospective
staff and students, visitors to the University, external partners, media and the general public.
• Promote the University's values of an inclusive and diverse community.
Post Specific Duties:
• Any other duties commensurate with the grade as deemed necessary by the line manager.
• A commitment to LJMU's values and regulations and Equality and Diversity Policy.
• Commitment to adhere to and promote the ethos of Respect Always as set out in the
Respect Always Charter.
• Liverpool John Moores University recognises and is aware of its Social, Economic and
Environmental responsibilities, the post holder is required to minimise environmental impact in the performance of the role and actively contribute to the delivery of LJMU's Environmental Policy.
• The post-holder's mandatory Health and Safety responsibilities, which have been agreed
by the University's Strategic Management Team, are contained in Section 2 of the University's Safety Management Code of Practice MCP1 Organisation for the Implementation of the Health and Safety Policy.
• For some of your activities, from time to time, you may be required to contribute to
externally funded projects such as research or EU projects.LJMU are committed to adhering to the principles set out in the Researcher DevelopmentConcordat; in line with this all fixed-term researchers will be supported to complete 10 daysprofessional development activities per year (pro-rata).

He/she should hold a PhD degree and in-depth knowledge of maritime big data mining and visualisation. Meanwhile, you should have strong coding skills and experience in machine learning and, The person specification describes the skills, experience, knowledge and aptitude requiredto perform the duties of this post effectively. The criteria order listed should not be taken toimply their relative importance. Both paid and unpaid experience may be relevant., Minimum requirements EvidencePhD in Maritime Engineering or Traffic Information Engineering Arelated subjects.Production of research papers in maritime engineering or A, Itransportation (i.e. WoS Q1 journal publications as the leadingauthors).Experience in maritime transportation, big data mining and risk A, Ianalysis.Experience in prediction methods, risk modelling, abnormal A, I, Pbehaviour identification, and anti-collision research.Excellent skills in analysis, optimisation, planning, modelling, andA, Iapplication.Knowledge and experience in machine learning and deep A, I, Plearning methods.Experience in research projects relating to collision avoidance, A, I, Ptransportation risk identification, and Arctic shipping.Experience in developing new models, techniques, and methods. A, IAble to work under pressure, learn new skills, and adapt to Achallenges quickly.Excellent time management and organisational skills. AExcellent interpersonal and communication skills. IProficiency in the English language. A, IGood teamwork and leadership. A, ISelf-managed and motivated. IEnthusiastic and dedicated. I, Minimum requirements EvidencePublications in leading journals in information engineering and Atransportation science (e.g., Transportation Science,Transportation Research Part A-E).Knowledge of computer programming languages, e.g., MATLAB, A, I, PPython.Maritime data mining, knowledge discovery, situation awareness, A, Iand risk modelling from spatiotemporal ship trajectory.Experience in research projects relating to maritime A, Itransportation, collision avoidance, transportation riskidentification or equivalent.Experience in the data analysis of accident data, Arctic shipping A, Iarea, and ship manoeuvring.Experience working on EU research projects or equivalent. AExperience in autonomous shipping projects.

Financial benefits: Competitive salaries based on a low contractual 35 hour working week. 17.5% employer contributions to pensions for non-academic staff enrolled into Local Government Pension Scheme (LGPS). 26.8% employer contribution to pensions for teaching staff enrolled into the Teachers' Pension Scheme (TPS). Work life balance: Excellent annual leave provision. 30 days for support staff and 35 days for staff and senior managers grade 8 and above. 8 UK bank holidays and up to 5 University closure days between Christmas and New Year. Family friendly policies and a range of benefits to support including job-shares, flexible working hours and part-time roles where possible. Health and wellbeing: Regular wellbeing support initiatives throughout the year. Access to a trained counsellor via Employee Assistance Programme (EAP). Plus a programme of activities and range of support and resources to help look after your mental and physical wellbeing. Career Benefits: Continuous development opportunities to enhance your knowledge and meet your career ambitions, including LinkedIn Learning. Making a difference: LJMU Climate Action - be at the forefront of initiatives to tackle climate change. Share experiences and challenge unfair practices with our Diversity and Inclusion Staff Networks. Opportunity to volunteer at graduation ceremonies, clearing and open days. Discounts and other benefits: A reward and benefits platform, giving savings on day-today purchases across a range of retail outlets. Interest free loans repayable across twelve monthly instalments, including loans for annual travel season tickets and cycle to work scheme. Massively discounted gym and fitness classes at the University Sport Building.