Assistant / Associate Professor in Operations Research and Artificial Intelligence for Airline Operations

Updated: 4 months ago
Deadline: 31 Jan 2022

UT HBE Department

The HBE department is a growing research group that combines different methodologies (computer science, operations research, mathematics, engineering, business & management, other social sciences) to improve high-tech business processes. Within this department, the IEBIS group focusses on decision support systems and inter-organizational systems within logistics, healthcare and the services sector.

KLM Royal Dutch Airlines

For 100 years, KLM has been a pioneer in the airline industry. KLM is the oldest airline still operating under its original name. The Dutch airline aims to be the most customer-focused, innovative, and efficient airline in Europe, offering reliable service and top-quality products.

In 2019 KLM carried a record 35.1 million passengers, offering its passengers direct flights to 171 destinations with a modern fleet of more than 172 aircraft. The airline employs a workforce of more than 33,000 people worldwide. KLM has been the front-runner in the development of sophisticated optimization tools, simulation models, and machine learning methodologies to resolve issues concerning fleet, crew, ground operations, and network in case of travel disruptions. These tools are not only used within KLM itself but more generally in the industry to improve airline operations. Today, the COVID-19 crisis has a worldwide impact on the airline industry. At KLM, the innovative use of machine learning and optimization algorithms is proving its value by reducing the impact of the crisis and allowing for the optimal use of new opportunities.

KLM Operations

Optimizing and digitizing airline operations is the key to gaining competitive advantage in the airline industry, as other factors-such as seats, routes, aircraft-that once set airlines apart have now become commodities.

Every day, KLM's Operational Control Center makes tradeoffs that affect flights, passengers, crew, ground staff, on-time performance, and profitability. The many operational processes of KLM strongly interact with each other resulting in vast complexity. Today, these processes produce a vast amount of data and offer increasing opportunities to implement decisions digitally, creating a vast field for research and development, and improvement on old ways of working.

In 2017 KLM Operations has started a new initiative, based on the principals of Operational Excellence to digitalize airline operations by building a suite of tools that improve the operational performance of the airline. By combining data with today's advanced analytics, AI and machine-learning expertise, complex operational issues are now being solved for KLM and for other airline clients across the world.

KLM Operations now has a growing chapter of optimization and machine learning specialists, with both industrial and academic background, working in an agile manner with dedicated software engineers, business analysts, product owners and IT operations specialists. We are known for our can-do-mentality. Our familiar atmosphere often results in Friday drinks and celebrations of all kinds of achievements.


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