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  3. Postdoc: Artificial Intelligence Modelling of Coordination of Humanitarian Relief for Climate Resilient Airport Operations

Postdoc: Artificial Intelligence Modelling of Coordination of Humanitarian Relief for Climate Resilient Airport Operations

Airports play a crucial role in facilitating humanitarian aid, but are often situated in susceptible locations to climatic disasters. The ability to be …

27 dagen geleden

Arbeidsvoorwaarden

Standplaats:
Kluyverweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 38 uur
Salarisindicatie:
€ 3255 - € 4274 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

Airports play a crucial role in facilitating humanitarian aid, but are often situated in susceptible locations to climatic disasters. The ability to be resilient and operate effectively during such adverse events can therefore be seriously compromised. It is difficult to legislate for serious damage, loss of communications, excessive arrival of aid, and evacuation demands etc. However, coordination is crucial and is something that is often missing or mismanaged, leading to severe lack of operational efficiency and capacity in disaster relief.

This research position will focus on the formal understanding and modelling of coordination in the processing of humanitarian aid through an airport from arrival to distribution from the airport. Artificial Intelligence (AI) techniques such as Agent Based Modelling & Simulation (ABMS) will be used within the context of a Multi-Actor System (MAS) in order to understand the challenges and processes in a formalised manner. This will lead to recommendations and potential procedures to increase resilience during the facilitation of humanitarian aid through airport operations. This entails the fundamental challenge of coupling detailed socio-technical models with inputs and sensitivity to systemic MAS models of the influencing actors coordinating the through-put of aid at an airport. This is a two year postdoc position in the first instance, with the possibility of extension through successful funding acquisition. It involves an ongoing collaboration in this research direction between two Faculties at TU Delft (Technology Policy & Management and Aerospace Engineering) and Delft’s research initiative DIMI (Delft Deltas, Infrastructure & Mobility Initiative).     

Functie-eisen

The ideal candidate will have a strong background and doctoral degree with good knowledge of AI Techniques (ABMS and MAS in particular), good programming skills and knowledge of airport operations. Knowledge of sociotechnical paradigms is considered to be a valuable asset.He/she should have a proven record in high quality journal publication, interdisciplinary research, and the ability to conceptualize and formalize processes and associated systems. The position also requires an inquisitive, enthusiastic inventive, open-minded person who works independently but interactively within an interdisciplinary team environment, linking and exploiting existing expertise within the team as well as their own novel approaches. Grant writing and valorisation experience would also be a highly beneficial asset. The candidate should have a very good command of English language, in direct communication as well as writing, as well as excellent interpersonal communication skills.

Conditions

The TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. Coming to Delft Service organizes diverse events for new international employees and their accompanying partners, like Partner Career Workshops and Dutch Culture Workshops. Located on campus are the International Children’s Centre and an international primary school which are subject to availability as well as several bilingual schools in the nearby surrounding. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

Additional information

For information about this vacancy, you can contact O.A. Sharpans'kykh, Assistant Professor, email: O.A.Sharpanskykh@TuDelft.nl, tel: +31 15 27 81483.

For information about the selection procedure, please contact mw. N. Zoet, section secretary, telephone: +31(0)15-2781386, or email: N.Zoet@tudelft.nl.  

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