Finde einen Job 
Finde eine Ausbildung 
Top Arbeitgeber 
Top Universitäten 
Für Unternehmen Auf einen Blick
- Aufgaben: Conduct cutting-edge research on generative AI models for data generation.
- Arbeitgeber: Join the Technical University of Munich, a leader in AI and Data Science.
- Mitarbeitervorteile: Access state-of-the-art facilities and collaborate with industry partners.
- Warum dieser Job: Be at the forefront of AI research and make a social impact.
- Gewünschte Qualifikationen: M.Sc. in Computer Science or related fields; strong programming skills required.
- Andere Informationen: Applications are encouraged from diverse backgrounds, including those with disabilities.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
PhD Position in Artificial Intelligence: The Chair of Responsible Data Science at the Technical University of Munich (TUM) invites applications for a Ph.D. position focusing on Data Generation using advanced AI technologies. This exciting opportunity will involve research at the forefront of generative AI models to address challenges in various data-centric applications.
Location: Technical University of Munich (TUM), Germany
Minimum Requirements:
- Hold an M.Sc. degree (or equivalent) in Computer Science, Statistics, Mathematics, or related fields.
- Proficient in programming languages such as Python, Java, C++, etc.
- Strong foundation in generative AI, machine learning, or data mining.
- Interest in data governance, regulation, and responsible AI.
- Excellent communication skills in both German (C1 or comparable) and English.
Description: This Ph.D. opportunity involves conducting research to develop innovative methods for generating highly realistic structured data using advanced AI techniques. The project includes literature review, data acquisition, model development, evaluation, and publication of findings in leading academic forums.
Why Join Us:
- Engage in pioneering research at the intersection of Artificial Intelligence, Data Science, and Social Sciences.
- Collaborate with leading experts in Artificial Intelligence and Data Science in a dynamic environment.
- Access state-of-the-art facilities and resources for research.
- Interact with industrial partners and participate in teaching and supervision activities.
Application Process: Interested candidates should email the following documents to Prof. Dr. Gjergji Kasneci ( ) by March 29:
- Contact information for 2-3 references
Shortlisted candidates will be invited for an interview. We encourage applications from individuals of all backgrounds, including those with disabilities.
#J-18808-Ljbffr
PhD Position in Artificial Intelligence, Technical University of Munich (TUM), Germany Arbeitgeber: POLITICAL INTELLIGENCE SL
Kontaktperson:
POLITICAL INTELLIGENCE SL HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: PhD Position in Artificial Intelligence, Technical University of Munich (TUM), Germany
✨Tip Number 1
Familiarize yourself with the latest advancements in generative AI and data generation techniques. This will not only help you during the interview but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the research community by attending relevant conferences or workshops. Networking with professionals in the field can provide valuable insights and potentially lead to recommendations.
✨Tip Number 3
Prepare to discuss your programming skills in detail, especially in Python, Java, or C++. Be ready to showcase any projects or experiences that highlight your proficiency in these languages.
✨Tip Number 4
Brush up on your communication skills in both German and English. Since the position requires excellent language proficiency, practicing technical discussions in both languages can give you an edge.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: PhD Position in Artificial Intelligence, Technical University of Munich (TUM), Germany
Tipps für deine Bewerbung 🫡
Understand the Requirements: Make sure you thoroughly understand the minimum requirements for the PhD position. Highlight your M.Sc. degree and relevant skills in programming languages, generative AI, and machine learning in your application.
Tailor Your CV: Customize your CV to emphasize your experience and skills related to data generation, AI technologies, and any relevant projects or research you've conducted. Include specific examples that demonstrate your expertise.
Craft a Strong Cover Letter: Write a compelling cover letter that outlines your motivation for applying, your interest in responsible AI, and how your background aligns with the research focus of the Chair of Responsible Data Science. Be sure to express your enthusiasm for the opportunity.
Prepare References: Contact 2-3 references who can speak to your qualifications and research potential. Ensure they are aware of the position and can provide relevant insights into your capabilities and character.
Wie du dich auf ein Vorstellungsgespräch bei POLITICAL INTELLIGENCE SL vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python, Java, and C++. Highlight any relevant projects or experiences that demonstrate your expertise in generative AI, machine learning, or data mining.
✨Demonstrate Your Research Interest
Familiarize yourself with current trends and challenges in generative AI. Be ready to discuss how your research interests align with the goals of the Chair of Responsible Data Science and how you can contribute to innovative methods for data generation.
✨Communicate Effectively
Since excellent communication skills in both German and English are required, practice articulating your thoughts clearly in both languages. Prepare to explain complex concepts in a way that is accessible to a diverse audience.
✨Prepare Questions
Think of insightful questions to ask during the interview. This shows your genuine interest in the position and helps you understand more about the research environment, collaboration opportunities, and expectations from the Ph.D. candidate.
