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Mohamed Bin Zayed University of Artificial Intelligence

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LLM Post-Training Research Engineer / Postdoctoral Researcher in NLP and Financial AI Mohamed bin Zayed University of Artificial Intelligence in United Arab Emirates

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United Arab Emirates

University

Mohamed Bin Zayed University of Artificial Intelligence

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Keywords

Computer Science
Information Technology
Finance
Natural Language Processing
Statistics
Linguistics
Large Language Models
Machine learning

About this position

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is hiring an LLM Post-Training Research Engineer / Postdoctoral Researcher at IFM, working with Prof. Preslav Nakov’s group.

The role focuses on hands-on work with open-source large language models, especially post-training and alignment methods such as SFT, instruction tuning, DPO, and RLHF. The team is looking for someone who can contribute directly to training, fine-tuning, adapting models, experiments, code, and research, not only prompt engineering.

Relevant interests include machine learning, natural language processing, LLM evaluation, robustness, and alignment evaluation. Experience in Financial NLP or Arabic NLP is a plus.

This opportunity is best suited to candidates with strong ML/NLP engineering experience, including large-scale experimentation and model adaptation. The post explicitly invites strong ML/NLP engineers, postdocs, or PhD graduates.

How to apply: email your CV and representative work to [email protected]. Representative work can include papers, code, training pipelines, fine-tuning projects, or evaluation projects.

Institution: Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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