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Saint Louis University - Saint Louis, MO
posted 2 months ago
Part-time - Entry Level
Saint Louis, MO
Educational Services
About the position
The Research Scientist position in Computer Science at Saint Louis University involves part-time work focused on developing advanced multimodal localization networked systems. The role aims to enhance localization techniques using emerging technologies such as OpenRadio Access Networks (ORAN) and 5G signals, with applications in areas like autonomous driving and mobile healthcare.
Responsibilities
- Assist in the design and implementation of algorithmic and system solutions for multimodal localization in Wireless systems, e.g. 5G and beyond.
- Develop and test algorithms that integrate data from multiple modalities (e.g., 5G, WiFi, LiDAR, Camera) to improve localization accuracy in complex scenarios.
- Prototype multimodal localization solutions on various platforms, such as smartphones, precision agriculture sensors, and 5G radios.
- Collaborate with a multidisciplinary team to evaluate system performance under real-world conditions.
- Contribute to the preparation of publications, technical reports, and project presentations.
Requirements
- MS in Computer Science or closely related field.
- Proficiency in Python or C++.
- Strong analytical skills, excellent communication, and ability to work collaboratively in a diverse team environment.
Nice-to-haves
- Proficiency in computer networks, localization systems is highly desirable.
- Proficiency in data science techniques is desirable.
- Familiarity with 5G, ORAN architectures, or with computer vision-based localization is a plus.
- Working knowledge of deep learning frameworks (e.g., PyTorch, TensorFlow) and simulation tools (e.g., ns-3) is preferred.
- Understanding of 5G network functions and standards, such as the 3GPP Location Management Function (LMF), is desirable.
- Enrolled in a Ph.D. program in Computer Science or a related field is a plus (ABD are acceptable).
Benefits
- Equal opportunity employer
- Accommodations for application and interview process
