Job Description & How to Apply Below
We are looking for a hands-on electrical engineering specialist to lead the electronics, embedded systems, OLED device integration, and data-integration aspects of our platform. This role includes sensor readout electronics, circuit design, microcontroller integration, OLED device driving, characterization, data logging, communication interfaces, and API connectivity. The candidate will collaborate closely with the materials, device fabrication, and AI teams to develop complete functional electronic systems.
Role Overview
The Sensor Integration, Embedded Systems & OLED Device Postdoctoral Fellow will be responsible for designing and testing the electronics architecture that connects Sentia's sensor elements and OLED devices to microcontrollers, data loggers, wireless communication modules, and software systems. The successful candidate will also participate in OLED device design, fabrication, electrical and optical characterization, and integration with embedded electronics. The role involves converting raw sensor signals into usable digital data while developing driving electronics and characterization methods for printed optoelectronic devices.
Key Responsibilities
Design and build electronic circuits for reading sensor signals from resistive, capacitive, voltage-output, current-output, or impedance-based sensors.
Develop sensor interface circuits including voltage dividers, bridge circuits, amplifiers, filters, ADC interfaces, and signal-conditioning circuits.
Build prototype sensor nodes for humidity, temperature, pressure, moisture, gas, and other environmental sensing applications.
Design and develop driver circuits for OLED devices and other printed optoelectronic components.
Participate in OLED device design, fabrication, optimization, and integration with flexible electronic systems.
Perform OLED electrical and optical characterization, including current-voltage-luminance (I‑V‑L), external quantum efficiency (EQE), power efficiency, luminance uniformity, lifetime, and stability measurements.
Develop embedded firmware for sensor reading, OLED control, calibration, time stamping, filtering, and data transmission.
Create APIs or connect sensor nodes and embedded systems to cloud platforms using FastAPI, MQTT, HTTP, REST, or Web Socket communication.
Prepare clean sensor and OLED characterization datasets for visualization, dashboards, and AI/ML workflows.
Troubleshoot sensor‑electronics integration, OLED driving circuits, signal integrity, communication failures, grounding issues, and power management.
Collaborate with materials scientists and device engineers to optimize overall system performance.
Required Background
PhD or Master's degree in Electrical Engineering, Electronics Engineering, Mechatronics, Computer Engineering, Embedded Systems, Applied Physics, Materials Engineering, or a related field.
Practical experience with circuit design, embedded systems, sensor integration, or optoelectronic device development.
Experience with OLEDs, LEDs, photodetectors, displays, or printed electronic devices is highly desirable.
Strong understanding of analog and digital electronics.
Required Technical Skills
Circuit design for sensor signal acquisition and OLED driving.
Analog electronics including voltage dividers, op-amps, filters, ADCs, impedance measurement, noise reduction, grounding, and shielding.
Digital electronics including GPIO, logic levels, I²C, SPI, UART, USB, and serial communication.
Microcontrollers including ESP
32, STM
32, Arduino, Raspberry Pi Pico, or similar platforms.
Experience with OLED device fabrication techniques such as spin coating, thermal evaporation, blade coating, or other thin-film deposition methods is an asset.
Experience with OLED characterization equipment including source-measure units (Keithley), spectrometers, luminance meters, integrating spheres, or probe stations is preferred.
Data logging using SD cards, databases, cloud services, or local servers.
Python programming for data analysis, visualization, and API interaction.
Familiarity with REST APIs, FastAPI, MQTT, HTTP, or related communication protocols.
Ability to use laboratory equipment including multimeters, oscilloscopes, LCR meters, source-measure units (SMUs), power supplies, and soldering equipment.
Ability to read technical datasheets and select components for sensor interfaces, embedded systems, and OLED driver electronics.
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