PhD and Postdoc positions at CIS/LMU Munich in NLP and Deep Learning

There are several postdoc and phd positions available at the Center for Information and Language Processing (CIS) at LMU Munich, in the groups of Barbara Plank and Hinrich Schuetze.

Preferred starting date: November 1st, 2022 (earlier possible)
Application deadline: September 8th, 2022 (after that, the position will remain open until filled).


The open positions are for the following topics of research at CIS, as well as for an ERC-funded project.

We are looking for PhD students and postdocs interested in the following themes of research at CIS: self- and semi-supervised learning (including few-shot learning and prompting), neural representation learning, learning from fortuitous data (e.g., multimodal, cognitive data, human uncertainty), linguistic investigation of deep learning models, data selection, domain adaptation, multilingual NLP, conversational AI, bias and hate speech and computational morphology.

Additional topics for the ERC Consolidator Grant DIALECT led by Barbara Plank include openings for the following themes:
- learning language representation from sparse input (including small samples of speech)
- processing non-standard languages and dialects (particularly Germanic variants) and structured inductive biases for cross-lingual transfer
- learning with human disagreement and label bias, human-in-the-loop learning.
Applications include: (task-oriented) natural language understanding, information extraction, coreference resolution.


CIS is part of ELLIS (ELLIS NLP and the ELLIS unit in Munich) and PhD students have the opportunity, subject to approval by ELLIS, to become affiliated with the ELLIS PhD program.


The MCML ( is a new center in which PIs from the Munich area, mainly from LMU Munich and TU Munich, collaborate on advancing machine learning. NLP is one of the focuses of the MCML. The MCML provides a rich environment for networking with PhD students and researchers in AI and for collaboration with other groups in the Munich area.


Ideal PhD candidates (resp. PostDoc candidates) have a master (resp. PhD) in computer science, computational linguistics or a related discipline, a strong interest in natural language processing and machine learning, excellent mathematical and programming skills, are team players and fluent in English.


The Center for Information and Language Processing (CIS) at LMU is headed by Barbara Plank and Hinrich Schuetze and is internationally recognized for its research on statistical NLP and deep learning applied to NLP. We are a growing team of 20+ PhD students and researchers from 10 different nations. LMU is the top university in Germany according to most rankings.


LMU is strongly committed to diversity and especially welcomes applications from members of underrepresented groups.


CIS is located in the city center of Munich near the English Garden, one of the world's largest urban public parks. Munich, the capital of Bavaria, is a vibrant international city with many cultural and recreational offerings, including the nearby Alps.


Please send CV, transcripts and a copy of your Master's thesis (for PhD applications; draft is ok) or publication record (for postDoc applications), names of two references and a motivation letter stating your research interests to, subject: "PhD application" or "postdoc application". For the positions related to the ERC project DIALECT, please include a maximum 1-page research proposal. Send all documents as a single PDF; give the PDF a name that includes your name. The positions are open until filled.