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- Aufgaben: Join our team to develop cutting-edge multimodal AI models that balance efficiency and performance.
- Arbeitgeber: TU Darmstadt is a leading research institution known for its innovative work in AI and technology.
- Mitarbeitervorteile: Enjoy a collaborative environment, access to top conferences, and the chance to publish impactful research.
- Warum dieser Job: Be part of a dynamic lab with a focus on groundbreaking research and a supportive culture.
- Gewünschte Qualifikationen: PhD in a relevant field and experience with multimodal AI or related technologies required.
- Andere Informationen: English-speaking lab with opportunities for professional growth and networking.
Das voraussichtliche Gehalt liegt zwischen 48000 - 72000 € pro Jahr.
Postdoctoral Researcher in Efficient Multimodal AI at TU Darmstadt
We are seeking a highly motivated postdoctoral researcher to join the lab of Ellis Fellow Prof. Dr. Marcus Rohrbach at TU Darmstadt, Germany, working on efficient multimodal (vision and language) models. This research aims to develop highly efficient multimodal models with an optimal trade-off between computational budget and performance. We are an English-speaking lab and publish at top venues, including CVPR, ECCV, ICCV, NeurIPS, and ACL conferences.
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Postdoctoral Researcher in Efficient Multimodal AI at TU Darmstadt Arbeitgeber: ELLIS
Kontaktperson:
ELLIS HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Postdoctoral Researcher in Efficient Multimodal AI at TU Darmstadt
✨Tip Number 1
Make sure to familiarize yourself with the latest research in multimodal AI, especially papers published at top conferences like CVPR and NeurIPS. This will not only help you understand the current trends but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Connect with current or former members of Prof. Dr. Marcus Rohrbach's lab on platforms like LinkedIn. Engaging with them can provide you with insights into the lab's culture and ongoing projects, which can be beneficial for your application.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, particularly those related to efficient models and computational performance. Highlighting specific challenges you've overcome will demonstrate your problem-solving skills and fit for the role.
✨Tip Number 4
Stay updated on the latest advancements in AI and machine learning by following relevant blogs, podcasts, and webinars. This knowledge will not only enhance your understanding but also show your passion for the field during discussions with the hiring team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Postdoctoral Researcher in Efficient Multimodal AI at TU Darmstadt
Tipps für deine Bewerbung 🫡
Understand the Research Focus: Familiarize yourself with the current research projects in the lab of Prof. Dr. Marcus Rohrbach. Highlight your relevant experience and how it aligns with their focus on efficient multimodal models.
Tailor Your CV: Customize your CV to emphasize your research experience, publications, and skills related to vision and language models. Make sure to include any relevant conferences where you've presented your work.
Craft a Strong Cover Letter: Write a compelling cover letter that explains your motivation for applying, your research interests, and how you can contribute to the lab's goals. Be specific about your past experiences and future aspirations.
Highlight Publications: If you have published papers, especially in top venues like CVPR or NeurIPS, make sure to list them prominently. Discuss how these works relate to the position and demonstrate your expertise in the field.
Wie du dich auf ein Vorstellungsgespräch bei ELLIS vorbereitest
✨Show Your Passion for Multimodal AI
Make sure to express your enthusiasm for efficient multimodal models during the interview. Discuss any relevant projects or research you've done in this area, and how they align with the lab's goals.
✨Familiarize Yourself with Recent Publications
Read up on recent papers published by the lab and other top venues like CVPR and NeurIPS. Being able to reference specific studies will demonstrate your knowledge and interest in the field.
✨Prepare for Technical Questions
Expect technical questions related to vision and language models. Brush up on key concepts and be ready to discuss your previous work and how it relates to the lab's focus on efficiency.
✨Ask Insightful Questions
Prepare thoughtful questions about the lab's current projects and future directions. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
