Overview:
We are seeking a motivated and skilled student assistant to join our research project on anomaly detection in Wireless Sensor Nodes. The successful candidate will implement and compare state-of-the-art methods against our proprietary method, contributing to cutting-edge research in the field of sensor networks.

Responsibilities:
– Implement state-of-the-art anomaly detection algorithms in C/C++ and Python.
– Develop and test code on development boards such as Arduino and Raspberry Pi.
– Compare the performance of various algorithms and document the findings.
– Assist in data collection, processing, and labeling.
– Prepare and present progress reports to the research team.

Requirements:
– Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Electrical Engineering, or a related field.
– Strong programming skills in C/C++ and Python.
– Experience with development boards like Arduino and Raspberry Pi.
– Knowledge of machine learning and data science techniques.
– Familiarity with version control systems like Git.
– Ability to work independently.
– Strong problem-solving skills and attention to detail.
– Excellent communication skills, both written and verbal.

Preferred Qualifications:
– Previous experience in research projects or relevant coursework.
– Familiarity with time-series analysis is a plus.

How to Apply:
Interested candidates should send the following documents to sband@uni-bremen.de

– A brief cover letter explaining your interest in the position and relevant experience.
– A current resume or CV.
– Latest Transcript.

This is an excellent opportunity to gain hands-on experience in a dynamic research environment. We look forward to your application!

Contact:
Saurabh Band
Sustainable Communication Networks
Faculty of Physics and Electrical Engineering
University of Bremen
NW1, Otto-Hahn-Allee 1
28359 Bremen, Germany