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Postdoctoral Research Associate - Natural Language Processing and Speech recognition |
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CATEGORY
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Research |
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College
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Departments
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Department
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Rise - Research Institute of Sciences and Engineering |
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Job Purpose
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The Research Institute of Sciences and Engineering (RISE) invites
applications for a full-time Post-Doctoral Fellow position in the Machine Learning &
Arabic Language Processing Research Group. We seek an outstanding researcher with
demonstrated expertise in multimodal machine learning, speech and speaker
recognition, Natural Language Processing (NLP), and Large Language Models
(LLMs), particularly in multilingual and cross-modal settings. The successful
candidate will contribute to advancing next-generation multimodal language
technologies, with a strong research focus on speech–text integration, speaker
representation learning, and generative AI systems.
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Main accountabilities & expectations
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- Lead and conduct independent and collaborative research on interdisciplinary projects leveraging advanced machine learning, multimodal AI, and speech–language technologies.
- Design, develop, and fine-tune state-of-the-art models and software tools for speech processing, speaker recognition, and multimodal NLP systems.
- Contribute to the development of integrated multimodal pipelines combining speech, text, and visual signals for next-generation AI applications.
- Participate actively in research planning, brainstorming sessions, and strategy discussions shaping future directions in multimodal AI and NLP.
- Publish impactful research findings in top-tier peer-reviewed journals and international conferences
- Mentor junior researchers, graduate students, and interns to foster a collaborative research culture.
- Represent the institute at workshops, conferences, and seminars, promoting institutional visibility and research collaborations
- Stay current with emerging developments in speech AI, LLMs, multimodal foundation models, and multilingual NLP
- Collaborate effectively with interdisciplinary teams across speech technology, computer vision, and language intelligence
- Manage computational resources, datasets, and experimental infrastructure efficiently
- Ensure compliance with ethical AI practices, institutional policies, and research standards
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Required Skills
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- Deep learning frameworks: TensorFlow, PyTorch, and Keras, including transformer-based and multimodal architectures.
- Natural Language Processing (NLP) and Large Language Models (LLMs): NLTK, spaCy, Hugging Face Transformers, model training, fine-tuning, and evaluation.
- Programming: Python (advanced), with knowledge of R, Bash, and scientific computing environments.
- Research software development and deployment for speech processing, speaker recognition, and multimodal AI systems.
- Mathematics for AI and Machine Learning: statistics, linear algebra, calculus, and optimization.
- Research and collaboration tools: Jupyter Notebook, Git, experiment tracking platforms, and reproducible ML workflows.
- Machine learning methodologies: transformers, multilingual models, retrieval-augmented generation (RAG), and foundation models.
- Large-scale multimodal data processing: preprocessing, feature extraction, annotation, and visualization for speech, text, and image datasets.
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Desirable Requirements
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- Ph.D. in speech and speaker recognition and natural language processing, or a closely related field.Demonstrable track record of publications in premier AI and NLP conferences and journals.
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Exceptional written and verbal communication skills, crucial for both academic dissemination and team collaboration.
- Profound knowledge of state-of-the-art NLP and deep learning techniques, and proficiency with relevant software tools and programming languages like Python.
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Job Location
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University of Sharjah (Main) |
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Job Criteria
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Gender |
, Male, Female, |
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Qualifications |
Phd |
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Relevant Experience
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4 |
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Living In UAE |
Open for all |
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Nationality |
, All, |
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