PhD Thesis “Sustainable AI in E-Mobility and Energy Integration”

At the Center for Energy we are committed to creating cutting-edge solutions for tomorrow's transportation and energy challenges. Our key projects focus on the exciting world of future transportation systems, including e-mobility, energy consumption, and energy systems. We aim to understand and improve the impact of (e-)mobility on the energy system, helping to shape a sustainable future and contribute to the European Union’s climate goals.
As a PhD student for our team located in Vienna, you will have the unique opportunity to tailor your research topic based on your expertise, interests, and ongoing research. Your main goal will be to develop AI-based methods to create surrogate functions, speeding up evaluation processes during optimisation approaches. This work will directly contribute to the creation of a resilient and sustainable transport network and efficient electric vehicle charging management.

PhD Thesis “Sustainable AI in E-Mobility and Energy Integration”

CENTER FOR ENERGY

• Advance statistical models related to user behaviour, charging strategies, and vehicle usage, integrating them into comprehensive mobility and energy system models.
• Develop and apply new methods, conduct large-scale simulations, and analyse data to provide critical decision support for the mobility and energy revolution.
• Interpret results and offer impactful recommendations for policymakers to advance climate targets, focusing on decarbonising the mobility sector.
• Forecast the impacts of the (e-)mobility sector on the energy sector from 2030 to 2050.
• Plan, execute, and evaluate studies independently, prepare results for documentation and presentation, and contribute to influential research outcomes.
• Contribute to a sustainable future by presenting your findings at international conferences and publish in esteemed journals, gaining recognition in your field.

Your qualifications as an Ingenious Partner:

• You have a completed master’s studies (MSc.) in Computer Science, Traffic Telematics, Mathematics, Electrical Engineering, or similar.
• You are passionate about Artificial Intelligence, Data Science, Combinatorial Optimisation.
• You possess top programming skills in one programming language (Python or R or Java, etc.)
• You enjoy solving problems, have a team-oriented hands-on approach, and are focused on creating impactful solutions.
• You value teamwork and colleagues with an open and collaborative mindset, and you love delving into interdisciplinary topics
• You are proficient in English; German language skills are a plus.

Why you should join us:

• Be part of a diverse team that values your unique perspective and encourages innovation
• Collaborate with an interdisciplinary & collaborative team of scientists from AIT and TU Delft AI Energy Lab
• Enjoy working and living in Vienna, which is claimed to be the world’s most liveable city!
• Travel to TU Delft for courses, training, and research discussions, broadening your academic and professional network
• Your work will make a tangible difference, playing a crucial role in the success of sector coupling research projects

What to expect:
EUR 2.684,10 gross per month (14 times / year), for 30 h / week. Plus AIT’s excellent research infrastructure and numerous trainings in scientific work for your personal and professional development. You will benefit from mentorship opportunities, supportive colleagues, formal and informal networking events and additional company benefits.
 
Moreover, you will be part of our AIT PhD community with around 150 international students. As a research institution, we are familiar with the supervision of PhD theses, and we are looking forward to supporting and guiding you on your PhD journey!
 
At AIT we have a strong commitment to diversity and inclusion. This is why we strive to inspire women to join our teams. We welcome applications from women, who will be given preference in case of equal qualifications after taking into account all relevant facts and circumstances of all applications.
 
Please submit your application documents including CV, cover letter and certificates online:
Would you like to know more?
Please contact:
Matthias PRANDTSTETTER (he/him/his), matthias.prandtstetter@ait.ac.at

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