The MLT group (Dr. Marius Mosbach, Dr. Simon Ostermann) together with the NMM 
(Prof. Verena Wolf, Dr. Kevin Baum) and SAINT groups (Prof. Kristian Kersting, 
Dr. Dominik Hintersdorf) at DFKI Saarbrücken and Darmstadt is recruiting across 
three complementary research areas: 

### 1. PhD Researcher: Mechanistic Interpretability for Safe Agentic AI (SAgA 
project) 
Develop fine-grained steering methods to control language model behavior 
without retraining. We're looking for someone to advance post-hoc 
controllability through circuit analysis and sparse feature steering. 
https://jobs.dfki.de/en/vacancy/researcher-phd-student-m-w-d-x-mechanistic-interpretability-for-safety-618588.html
  

### 2. PostDoc: Multilingual Mechanistic Interpretability (planned SLIMS 
Project, DFKI-Inria collaboration) 
First systematic study of reasoning circuits in compact multilingual models. 
Investigate circuit transfer across scales and many languages using the full 
mechanistic toolkit. Work directly with the ALMAnaCH team at Inria Paris (Prof. 
Benoit Sagot, Dr. Djamé Seddah) with planned bilateral research visits and 
joint workshops. 
https://jobs.dfki.de/en/vacancy/senior-researcher-postdoc-m-w-d-x-multilingual-mi-618589.html
  

### 3. PostDoc: AI Safety, Ethics, and Agentic Systems (SAgA project) 
Develop safe autonomous agents with explicit, inspectable normative 
constraints. We're seeking candidates with mechanistic interpretability 
expertise curious about safety, or safety/ethics backgrounds open to 
steering-based intervention methods. Work across multiple DFKI research groups 
(NMM, SAINT, MLT) with tailored supervision. 
https://jobs.dfki.de/en/vacancy/senior-researcher-postdoc-m-w-d-x-ai-safety-ethics-and-agentic-systems-618587.html
  

### General Information
These positions are part of two larger research initiatives at DFKI and beyond: 
one planned project focused on understanding and leveraging circuit structure 
for multilingual models (SLIMS), the other on building safe agentic AI through 
structurally preserved normative reasoning (SAgA).  

We work on explainable and efficient language processing with a strong focus on 
rigorous methodology, active publication, and open critical discussion of 
ideas. We're committed to creating a positive, respectful, supportive working 
atmosphere where you have space to develop your own scientific identity. 

SLIMS and SAgA will collaborate in an integrated interdisciplinary team. The 
positions will work closely together, with mechanistic findings feeding into 
safety architectures and safety requirements driving interpretability research, 
creating a coherent research ecosystem where circuit analysis, multilingual 
NLP, formal ethics, and agentic systems reinforce each other. 

The PhD and first postdoc position are supervised by Dr. Simon Ostermann within 
the Multilinguality and Language Technology (MLT) group directed by Dr. Marius 
Mosbach, with support from the DFKI labs SAINT (Prof. Kristian Kersting, Dr. 
Dominik Hintersdorf) and NMM (Prof. Verena Wolf, Dr. Kevin Baum). 

For the second postdoc position on AI safety and agentic systems, we offer 
flexible supervision across three research groups: the Neuro-Mechanistic 
Modeling (NMM) group under Prof. Verena Wolf, the Foundations of Systems AI 
(SAINT) group under Prof. Kristian Kersting, and the MLT group. Candidates 
prioritizing mechanistic interpretability work primarily with Dr. Simon 
Ostermann; those emphasizing formal ethics and normative reasoning anchor with 
Dr. Kevin Baum; and those focusing on agentic system design and task discovery 
collaborate with Dr. Dominik Hintersdorf. This ensures your mentorship directly 
supports your research trajectory while you contribute across interpretability, 
formal ethics, and safe agentic systems. 

### Our Labs 
We are committed to rigorous, methodologically grounded research with an active 
publication culture. We believe in the open, critical discussion of ideas and 
we value solid methodology as the foundation for real progress. We've built a 
lab culture that combines intellectual rigor with genuine support for the 
people who work here, and we invest in creating the space for you to develop 
your own scientific identity, while having lots of fun! 

If you're interested in mechanistic interpretability, multilingual NLP, or safe 
AI systems (or the convergences between them), we'd like to hear from you. 
Applications are open until Sep 15.
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