
PDP University
Mentor/Lecturer of Deep Learning & Neural Networks
- Artificial Neural Networks (ANNs)
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and LSTMs
- Transformer Networks
- Deep Learning Frameworks (TensorFlow, PyTorch, Keras)
- Backpropagation and Optimization Algorithms
- Regularization Techniques
- Model Evaluation and Tuning
- GPU Computing
- Английский — C1 — Продвинутый
- Узбекский — B2 — Средне-продвинутый
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Conducting lectures and practical sessions on "Deep Learning & Neural Networks"
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Developing and updating curricula based on modern deep learning architectures, techniques, and applications
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Organizing student project work and providing mentorship for their initiatives
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Preparing teaching materials and participating in research activities
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Collaborating with colleagues and participating in university educational initiatives
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Higher education in Computer Science, Artificial Intelligence, Mathematics, Statistics, or related fields
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At least 3 years of work experience or teaching experience in deep learning and neural network
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In-depth knowledge of neural network architectures, training algorithms, and deep learning frameworks
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Experience in delivering lectures, training, or corporate education (preferred)
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Familiarity with deep learning libraries (e.g., TensorFlow, PyTorch, Keras) and GPU computing is a plus
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Proficiency in English sufficient for teaching
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Official employment in accordance with the Labor Code of the Republic of Uzbekistan
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Competitive salary and bonus system
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Modern educational environment and access to the latest technologies (including GPU resources)
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Opportunities for professional growth and participation in international projects
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Flexible work schedule (possibility to combine with research or practical activities)