Post Doctoral Scholar

University of Central Florida • Orlando, FL

10d • $57,000

About The Position

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Requirements

• Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Nice To Haves

• Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
• Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
• Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
• Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
• Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Responsibilities

• Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.
• Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.
• Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.
• Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.
• Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees