Postdoctoral Researcher in Artificial Intelligence
Postdoctoral Researcher in Artificial Intelligence
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1 Vacancy
Job Description
Prof. Ibrahim Demir at the ByWater Institute Tulane University is seeking a highly motivated Postdoctoral Researcher specializing in next-generation artificial intelligence (AI) methodologies. The successful candidate will be at the forefront of exploring cutting-edge techniquessuch as multimodal multi-task transformer-based architectures large-scale generative modeling graph neural networks (GNNs) and reinforcement learning frameworksfor applications spanning environmental monitoring decision support and educational innovation. Responsibilities include developing and fine-tuning advanced AI/ML models designing experiments to evaluate model robustness and bias contributing to open-source libraries and pursuing novel research directions that leverage interdisciplinary collaborations. Additionally the postdoctoral researcher will play a pivotal role in securing competitive funding from agencies such as NSF and NIH mentoring graduate students disseminating findings in high-impact journals and conferences and engaging with diverse stakeholders to translate AI breakthroughs into real-world impact.
Applicants must have a Ph.D. in computer science electrical/computer engineering or a closely related field with a focus on state-of-the-art machine learning and AI methods. Additionally the ideal candidate will have:
- Demonstrable expertise in developing and training large-scale transformer-based models (e.g. GPT BERT ViTs) for multimodal (text image video sensor data) and multi-task learning.
- Proficiency in advanced deep learning frameworks (TensorFlow PyTorch) for GPU-based large-batch model training including experience with distributed and parallel computing (e.g. multi-GPU or HPC cluster environments).
- Familiarity with specialized AI domains such as GNNs reinforcement learning (especially policy optimization or RLHF) and model fusion methodologies (e.g. cross-modal attention late fusion or hierarchical fusion strategies).
- Hands-on experience with large-scale data pipelines hyperparameter optimization data augmentation and model interpretability/visualization tools.
- Working knowledge of high-level DevOps practices (Docker Kubernetes CI/CD) and cloud infrastructure (AWS Azure or others) for production deployment of AI systems.
- A strong publication record preferably in top-tier AI/ML venues (e.g. NeurIPS ICML ICLR CVPR AAAI) and relevant journals.
- Emerging track record in leading grant proposals project management or collaborative research initiatives with strong interpersonal and mentoring skills.
- Enthusiasm for interdisciplinary and applied research with the capacity to bridge AI advancements to different domains.
Employment Type
Full Time
