PhD Position in NLP - Multimodal / multi-agent NLP evaluation

Organisation/Company: University of Technology Nuremberg

Research Field: Computer science

Researcher Profile: First Stage Researcher (R1)

Positions: PhD Positions

Country: Germany

Application Deadline: 2 Nov 2025 - 23:59 (Europe/Berlin)

Type of Contract: Temporary

Job Status: Full-time

Hours Per Week: 40

Offer Starting Date: 1 Jan 2025

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Multimodal / Multi-Agent Evaluation of Generative AI

We are seeking a highly motivated and talented individual to join our dynamic and international research team and contribute to cutting-edge research in the field of multimodal / multi-agent NLP evaluation. The focus will be on developing robust, efficient, and high-quality evaluation metrics for text generation/generative AI. These metrics may extend existing methods like BERTScore, BARTScore, or GEMBA to multimodal settings, such as text-to-image generation, or incorporate multi-agent approaches like multi-agent debate for evaluation.

Your Main Tasks:

• Research and teaching at the Department of Engineering of UTN in the Natural Language Learning & Generation (NLLG) Lab (https://nl2g.github.io/)
• Collaboration with other researchers
• Publication of your research results at top-quality conferences and journals

Your Profile:

• An outstanding Master’s degree in Natural Language Processing, Computational Linguistics, Computer Science, Computer Vision, Artificial Intelligence, or a related field
• A strong background and genuine interest in NLP, machine learning, or computer vision and interdisciplinary research
• Proficiency in Python and familiarity with machine learning frameworks like PyTorch or TensorFlow and handling of LLMs
• Strong mathematical, problem-solving, and analytical skills
• Effective communication and presentation abilities in English

Interested?
To apply for admission to doctoral research, please send your application until 02.11.2024 (Code: ENG-NLLG-24-06) to stars@utn.de. Your application should include:

• A personal statement explaining why you want to pursue a doctorate in this area at UTN (limited to one page)
• Certificates of your university degrees (M.Sc. and B.Sc.) or equivalent qualification
• Transcripts of records, diploma supplements, or an overview of courses from your degrees (M.Sc. and B.Sc.)
• Your M.Sc. thesis
• (Optional) A link to your GitHub projects and any prior publications
• All application documents should be submitted together in ONE SINGLE PDF

If you are shortlisted, you will be invited for an interview, a research presentation, and a coding or analytical exercise.

Languages: ENGLISH Level Excellent

Additional Information

Work Location(s)

Number of offers available: 1

Company/Institute: Natural Language Learning & Generation (NLLG)

Country: Germany