We are seeking a highly motivated PhD student/researcher to join our team at TU Darmstadt, Germany, working on efficient multimodal (vision and language) models. The goal of this research is to develop highly efficient multimodal models w.r.t. computational budget with an optimal trade-off w.r.t. performance.

The position starts as soon as possible.

• Conduct research on efficient multimodal AI models, including developing novel architectures, training methods, and optimization techniques.
• Collaborate with an industry partner to ensure that the research has a real-world impact.
• Publish high-quality research papers in top venues such as CVPR, NeurIPS, and ICCV.
• Present research findings at conferences and workshops.

• MSc in Computer Science or a related field.
• Research experience in efficient deep models and/or multimodal AI.
• Some success in publishing, ideally in venues such as CVPR, NeurIPS, ICCV, ICLR, ACL and AAAI.
• Excellent communication and interpersonal skills.

Please apply via our Online Application Form and use “PhD-efficient-MMAI” as the “reference number”.