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Postdocs/Research Engineer positions on Multimodal LLMs & Responsible NLP

Nov 25, 2025 | News

We are hiring three researchers to work on multilingual and multimodal LLMs and Responsible and Trustworthy NLP. For full announcements and to apply, see:

  • Researcher in Multimodal Large Language Models
  • Researcher in Responsible and Trustworthy NLP
  • Junior Research Engineer in Multimodal Large Language Models

Application Details:
– Deadline: December 10, 2025 (positions remain open until filled)
– PhD not required at the time of application
– Expected start: Feb 2026 (flexible)

About us:
The MT Unit is a competitive research team of ~12 researchers and students with a long tradition in machine translation, speech translation, and inclusivity research. We are involved in several international projects and offer an attractive benefits package, including a flexible workweek, full reimbursement for conferences, and a competitive salary.

The unit is located in Trento, Italy, in the beautiful Alps.

We encourage talented researchers and engineers interested in multimodal LLMs or responsible NLP to apply.

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#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

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MT Group at FBK

@fbk_mt ·
21 Oct

Our #PickOfTheWeek 📚: “High-Fidelity Simultaneous Speech-To-Speech Translation” by @t0m1ab, @lmazare, @EXGRV, @ptrkprz, @honualx and @neilzegh

🎙️➡️🌍 This work shows how a full-duplex SpeechLLM architecture can be adapted for simultaneous S2ST and S2TT.

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MT Group at FBK

@fbk_mt ·
15 Oct

Can LLM Agents Learn how to behave According to your preferences?

PersonaAgent is a framework that combines personalized memory and tool use to help LLM agents adapt their actions to individual users without fine-tuning the underlying model.

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MT Group at FBK

@fbk_mt ·
7 Oct

Our #PickOfTheWeek, selected by @mgaido91: "Alignment Is All You Need: Instruction-Free Training for General Audio-Language Models" by Xuanru Zhou, Yiwen Shao, Jiahong Li, and Dong Yu 🎧

Can instruction-free training power the next generation of audio-language models?

Marco Gaido @mgaido91

Cool to see we are not the only ones working on building SpeechLLMs with instruction-following capabilities without requiring LLM adaptation and instruction-following data that is expensive to collect!
https://arxiv.org/abs/2608.18132

@fbk_mt

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@fbk_mt ·
21 Sep

Our #PickOfTheWeek, selected by @BeatriceSavoldi:

"The AI Observatory: A Public Measure of Real-World AI Use" by @ShayneRedford, @AnkaReuel, @zoeykii et al.

A crucial framework tracking how AI models are deployed, adopted, and evaluated beyond lab benchmarks.

BeatriceSavoldi @BeatriceSavoldi

Pick of the week @fbk_mt
📚"The AI Observatory: A Public Measure of Real-World AI Use"

A study and taxonomy to explore real conversations across multiple datasets.
https://www.dataprovenance.org/ai_observatory.pdf

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