Post Doc position in Quantitative Models for Maritime Logistics with emphasis on Offshore Energy Sector

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Odense M

The Department of Technology and Innovation University of Southern Denmark in Odense (SDU), invites for applications to a 3-year Post Doc position with teaching obligations on the topic of Quantitative Models for Maritime Logistics with an emphasis on challenges of the Offshore Energy sector. The starting time of the position is 1st October 2023 or as soon as possible thereafter, and the location is at SDU’s main campus in Odense.

JOB DESCRIPTION:
SDU has based on strategic sources and funding from Orients Fund initiated a cross disciplinary research and innovation project called the Maritime Research Platform (MRP) aimed at making the Danish and European maritime industry more sustainable and competitive in the global marketplace for offshore energy (wind, oil, gas, carbon capture, power-to-x) shipping and logistics services. The project consists of six work packages (WP) where WP2 is in scope for this Post Doc position. WP2 is intended to address business, operations and / or logistics challenges of the offshore energy maritime industry via contributing to development and validation of decision support tools which can guide commercial, operational, or technical business decisions in the short and long term for shipping companies, ports, service businesses, etc. based on a robust data foundation.

A potential project deliverable can include decision support tools and models to forecast long- or short-term demand for specific offshore energy maritime assets (project cargo, multi-purpose, tanker, installation, cable laying, crew vessels, port, bunkering infrastructure etc.) and / or services (offshore wind turbine installation, inspection of offshore constructions, supply of bunkers and spare parts, transportation of crew etc.). Another potential project deliverable can include decision support tools and models for scheduling and execution of voyages, bunkering etc. of offshore installation vessels, supply, crew vessels etc. based on demand and supply, wind, and weather conditions and the like.

To be able to realize decision support tools and models, the Post Doc should preferably be able to build a set of quantitative models using methods from areas of Operations Research, Statistics, Simulation, and Economics etc. Such models can preferably be built, run, and validated in various software and computing environments such as Anylogic, Python, Julia, using a combination of appropriate methods within scheduling, optimization, heuristics, simulation, and data science.

The Post doc candidate will have significant freedom to shape the research and innovation effort in directions of own interest. The candidate is expected to identify relevant industry partners and collaborate and with them as part of the project, for example gathering data from and sharing findings.

The Post Doc candidate will...

  • ...conduct research and innovation in the corresponding research area, covering the before-mentioned activities.
  • ...work closely with key stakeholders in the SDU Maritime Research Platform and the Offshore Energy Maritime Industry.
  • ...publish and present academic work both at international conferences and in scientific journals with high impact.
  • …publish and present industrial innovations at events for industry professionals.
  • ...take part in teaching and supervision activities in the field of Operations & Supply Chain Management, Operations Research, Modelling and Simulation, Data Science, Ship Operations and Maritime Logistics.

This Post Doc position is fully funded.

WHAT WE EXPECT:
The successful candidate will conduct application-oriented research with a team of industry partners in the Offshore Energy Maritime Industry. The desired candidate should hold a PhD. degree in Operations Management, Industrial Engineering, Systems Engineering, Computer Science, Operations Research, Shipping and Logistics or equivalent (equivalent to a Danish PhD degree) and should demonstrate:

  • Skilled in data-driven analytics and mathematical modelling/optimization, preferable in Anylogic, Python or R, Julia.
  • Be comfortable with various programming languages and willingness to learn new if needed.
  • Knowledge about offshore maritime and energy operations is an advantage.
  • Willingness to do applied science and support project team, industrial partners, and overall research project progress.
  • Interest in longer term commitment to a growing research group.
  • Passion to work with students and to contribute to teaching / supervision of (master) students.
  • Comfortability with working both independently and within an international team.
  • Very good written and oral communication skills.
  • Fluency in English, both spoken and written.
  • Good written and oral communication skills

Familiarity with or dedicated interest in exploring the domain of Offshore Maritime and Renewable Energy Industries as experience with creating qualitative and/or quantitative models in business / industrial settings will be considered as an advantage.

WORKPLACE DESCRIPTION:
SDU offers a vigorous international research environment with a balance of male and female researchers, excellent facilities, inclusive the new Robotics and Additive Manufacturing Laboratories at University of Southern Denmark, a long-term strategic initiative created to support research, teaching, and industrial collaboration and experimentation. SDU expect to increase its’ collaboration with industrial companies and associations in the coming years across industrial sectors.

FURTHER INFORMATION:
Further information is available from Associate Professor Julia Pahl, phone: +45 93 50 70 81, email: [email protected] or Head of Section Niels Gorm Maly Rytter, phone: +45 29 10 37 29 email: [email protected].

If you experience technical problems when uploading your application, pleasecontact [email protected].

For further info, check: https://www.SDU.dk/en/forskning/SDUmechanicalengineering/researchareas/maritim-teknologi/SDU-maritime-research-platform)

Conditions of employment
Employment as a postdoc requires scientific qualifications at PhD level. Employment as a postdoc is temporary and will cease without further notice at the end of the period.
Research will be predominant in the position. Teaching assignments can be agreed individually. Furthermore, other types of assignments may occur to a limited degree. The Faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time. The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check links for more information on salary and taxation.

The assessment process
Read about the Assessment and selection process. Shortlisting may be used.

Application procedure

The faculty expects applicants to read How to apply before applying.

The application must be in English and must include:

    Motivated application Detailed Curriculum Vitae Certificates/Diplomas (MSc and PhD) List of publications indicating the publications attached Examples of the most relevant publications. Please attach one pdf-file for each publication Reference letters and other relevant qualifications may also be included.

The application deadline is 01.05.2023

The University wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Further information for international applicants about entering and working in Denmark.

Further information about The Faculty of Engineering.



Information og data

Denne ledige stilling har jobtypen "Forsker", og befinder sig i kategorien "Sundhed og forskning".

Arbejdsstedet er beliggende i Odense M.

Jobbet er oprettet på vores service den 13.3.2023, men kan have været deaktiveret og genaktiveret igen.

Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
  • Forsker
  • Odense M
  • Mandag den 01. maj 2023

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