About Us:

The Smart Systems Engineering Lab at PSU is a leading research lab dedicated to advancing the field of smart systems, robotics, and automation. Our interdisciplinary team of researchers works on cutting-edge projects that have real-world impact across various industries, including healthcare, manufacturing, transportation, 5G, Optical Communication, Artificial Intelligence and more.

Announcement:

We are excited to announce an interesting opportunity to join our dynamic and innovative team at the Smart Systems Engineering Lab at PSU. We are seeking a highly motivated and talented Postdoctoral Researcher to join our funded project specializing in federated learning. The successful candidate will work on cutting-edge research in federated learning, contributing to the development and implementation of novel algorithms and methodologies. The research aims to advance the state-of-the-art in privacy-preserving machine learning and distributed systems, with applications across various domains, including IoT and smart cities.

Responsibilities:

• Conduct original research in federated learning, focusing on algorithm development, optimization, and implementation.
• Collaborate with a multidisciplinary team of researchers and stakeholders to integrate federated learning techniques into real-world applications.
• Develop and maintain federated learning frameworks and toolkits.
• Design and evaluate novel techniques for model aggregation, data heterogeneity handling, and communication efficiency in federated learning systems.
• Integrate federated learning techniques with other AI methodologies, such as reinforcement learning and self-supervised learning
• Collaborate with a team of multidisciplinary researchers.
• Publish research findings in reputable journals and conferences.
• Mentor and supervise junior researchers and graduate students.
• Contribute to grant proposal writing and project management.

Qualifications:

• A Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on machine learning, federated learning, or distributed systems.
• Strong publication record in top-tier conferences and journals.
• Proficiency in programming tools such as Python, ROS, and MATLAB.
• Experience with ML/DL frameworks and optimization techniques for large-scale models.
• Prior experience with real-world applications of federated learning in smart cities.
• Excellent problem-solving skills and the ability to work independently as well as in a team.
• Strong communication and presentation skills.
• Prior experience with grant writing, project execution and management.

Application Procedure:

Interested candidates should ensure the availability of the following document, and they should submit their application materials through this application form

https://docs.google.com/forms/d/e/1FAIpQLScDot0SPA782j65Iwn1pXvk5zSWWO3gnlKs1noZkChRQku8BQ/viewform

1. A cover letter detailing your research interests and relevant experience.
2. Curriculum Vitae (CV), including a list of publications.
3. Provide a summary of your previous grant writing and project management experience.
4. Provide a brief of your previous real hands-on research works and technical skills.

Benefits:

• Competitive salary and benefits package.
• Collaborative and stimulating research environment.
• Opportunities for career advancement and professional development.

We welcome candidates from diverse backgrounds to apply and join our vibrant research community. PSU is an equal opportunity employer.

We look forward to receiving your application and having you join our team in advancing the frontiers of smart systems engineering.