Doctoral Thesis - AI-Assisted Project Portfolio Management and Administration (f/m/div)

#WeAreIn to create tiny chips and big careers. Research with purpose. Innovation with direction. As a PhD at Infineon, you'll collaborate with passionate minds, shape innovations that power tomorrow's world, and build a career where your expertise truly makes a difference. Are you in? Your Role Key responsibilities in your new role As an industrial doctorate at Infineon, you will pursue a doctoral degree at a University and gain professional experience simultaneously - an ideal start for your career. Advance your research with us and profit from our vast network of doctoral candidates and the expertise of a university. Mentorship is handled by both professors and dedicated Infineon employees. The research is carried out in cooperation with the Technical University Dresden and under the supervision of Prof. Dr. Patrick Zschech. We are offering a doctoral thesis dealing with Artificial Intelligence solutions for resource portfolio management based on mathematical models teached and learning from big data sources. * Data is everything: Analysis of big data sources, history of Project Portfolio Management data sources * Mathematical Modeling & Parameter Analysis: Creation of mathematical models based on different parameters and different weighting factors for various project characteristics * AI Algorithm: Create and program a machine learning AI algorithm for different purposes of project portfolio management and administration * Advanced Mathematical & Statistical Methods: Involve different mathematical approaches including statistics, multi parameter room matrices and optimization methods * Stakeholder Engagement & User-Centered Development: Involve stakeholder analysis in application development to increase user acceptance * Scientific Work: 3-4 publications of applied AI in specific journals The learnings out of the thesis will lead to: * Expertise in concrete application creation of maths-based AI algorithms * A cross functional communication skill understanding and learning * Very deep insight in multi parameter decision preparation based on simulation and parameter weighting dynamics Your Profile Qualifications and skills to help you succeed * Education: Master’s degree in mathematics or physics and a Master Thesis in the field of applied research, involving different disciplines * Interests: Understanding different Machine Learning concepts with AI Algorithms * Skills: Basic programming capabilities * Experience: Intercultural experience is an asset, e.g. semester abroad * Knowledge: Deep understanding of mathematical models for big data analysis and deep/teached learning algorithms based on statistics and singular events * Language skills: Fluently in English, willing to improve German language skills Contact: Lina-Marie Minuth #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.