Research Associate-Fixed Term

Position Summary

The Edge Intelligence and Networking (EIN) at the Department of Computer Science and Engineering, Michigan State University invites applications for a postdoctoral research associate position in the area of LoRa networking and sensing systems for agriculture IoT in rural environments. This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of wireless communication, sensing technologies, and precision agriculture, addressing real-world challenges in rural connectivity and sustainability.

The selected candidate will lead efforts to design, implement, and optimize LoRa-based IoT systems tailored for agricultural applications. This includes developing innovative solutions for low-power, long-range wireless communication; integrating diverse sensing technologies; and exploring scalable deployment strategies in rural settings. The research aims to enhance data-driven decision-making for agricultural practices, with a focus on affordability, reliability, and sustainability.

Key Responsibilities:

1. Conduct advanced research on LoRa networking protocols, including performance optimization in rural and remote environments.
2. Design and implement sensing systems to monitor various agricultural parameters (e.g., soil moisture, weather conditions, crop health).
3. Collaborate with interdisciplinary teams, including agronomists, data scientists, and engineers, to align IoT solutions with agricultural needs.
4. Develop and evaluate prototypes and field-deployable systems through experimental trials in rural settings.
5. Publish research findings in high-impact conferences and journals.
6. Mentor graduate and undergraduate students contributing to the project.

Equal Employment Opportunity Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.

Required Degree

Doctorate -Computer Science or related area

Minimum Requirements

1. Strong background in wireless communication systems, especially LoRa/LPWAN technologies.
2. Demonstrated ability to conduct independent research and publish in peer-reviewed journals.
3. Excellent communication and teamwork skills.

Desired Qualifications

1. Experience in IoT system design, including hardware integration and software development.
2. Familiarity with sensing technologies and agricultural applications is highly desirable.

Required Application Materials

1. A cover letter outlining your research interests and relevant experience.
2. A curriculum vitae (CV) including a list of publications.
3. Contact information for three references.

Review of Applications Begins On

12/31/2024

Website

cse.msu.edu

Department Statement

The Department of Computer Science and Engineering has robust research programs in several areas, including AI, Autonomous Driving, Biometrics, Computer Vision, security & privacy, Data Science, Evolutionary Computation, Machine Learning, Networking, and Software Engineering. The Department is home to 55 tenure-system faculty members and teaching specialists, including four endowed professors, 13 NSF CAREER awardees, and one member of the National Academy of Engineering. Our annual research expenditures exceed $11 million. The Department offers accredited B.S. degree programs in Computer Science and Computer Engineering and a B.S. degree in Computational Data Science. In addition to M.S. and Ph.D. degrees in Computer Science, the Department offers an M.S. degree in Data Science in collaboration with the Department of Statistics and the Department of Computational Mathematics, Science & Engineering. For additional information about the CSE Department please visit https://cse.msu.edu/.

MSU Statement

Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.