Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Utah
- ;
- AALTO UNIVERSITY
- Auburn University
- Auckland University of Technology
- Deakin University
- Falmouth University
- High Point University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nanyang Technological University
- Nature Careers
- New York University
- Oregon State University
- Pennsylvania State University
- Rhode Island School of Design
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Scion
- Singapore Institute of Technology
- The University of Southampton
- UNIVERSITY OF SOUTHAMPTON
- University of British Columbia
- University of Luxembourg
- University of Newcastle
- University of Sheffield
- Zintellect
- 16 more »
- « less
-
Field
-
. Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field. Experience deploying machine learning models on edge platforms (e.g., NVIDIA Jetson, Raspberry Pi, ARM Cortex
-
communication skills. Experience working with engineering software and tools (for example, CAD software, Arduino, Raspberry Pi, 3D printers, laser cutters, and hand tools). Please submit the following materials
-
of embedded electronics and microcontrollers (Arduino, ESP32, Raspberry Pi, etc.). Expertise in developing sensors for air quality (PM2.5, CO2, Nox, etc.) and energy monitoring (voltages, currents, battery
-
. Maintain and optimize high-performance computing systems, ensuring reliability and efficiency. Configure, troubleshoot, and support embedded platforms (ESP32, Raspberry Pi, Arduino) and IoT networks. Assist
-
English. Finnish language is not required. The following experience and skills are considered an advantage: Hands-on experience with embedded boards (Arduino, Raspberry Pi, etc.) Microcontroller Programming
-
like OpenCV or FFmpeg. Strong experience with Linux, including scripting and remote deployment to edge devices (e.g., Raspberry Pi, NVIDIA Jetson). Understanding of network protocols (TCP/IP, UDP, HTTP
-
based on C/C++ and Linux) for heterogeneous distributed computer systems, assistance in running experiments, and system administration for the project’s special hardware (such as GPU servers, Raspberry-Pi
-
firmware development. Working experience with IoT, data analytics, artificial intelligence, machine learning, etc. Working experience with various development boards systems like Arduino, Raspberry Pi, Intel
-
, git, raspberry pi, sensor integration, networking, and radios. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals