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Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits (PhD) Aalto University in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
Fixed-term doctoral researcher contract under Aalto's 2+2 model: initially 2 years with a 6-month probationary period, extendable by 2 more years after successful mid-term review. Starting salary is approximately 3100€/month. The post provides GPU computing on Aalto's Triton HPC cluster, circuit simulation tools, and RF measurement infrastructure.
Deadline
Oct 9, 2026
Country
Finland
University
Aalto University

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About this position
Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits at Aalto University
Aalto University’s Department of Electronics and Nanoengineering is recruiting a PhD-level Doctoral Researcher to join the Tiny Systems and Circuits (TSirc) group in Espoo, Finland. The project focuses on hardware-aware AI for analog circuits and RF circuits, with the goal of developing energy-efficient AI-driven 6G transmitters.
The successful candidate will build hardware-aware behavioral models in Python, validate them against circuit simulations and measurements, and work on hardware-algorithm co-design. The role also includes publishing at leading international venues, completing a doctoral thesis in the Aalto Doctoral Programme in Electrical Engineering, and contributing to teaching duties.
Eligibility highlights: a Master’s degree in Electrical Engineering, Electronics, Microelectronics, Signal Processing, or a closely related field; practical machine learning experience with Python and PyTorch (or similar); strong background in signals and systems and analog circuit theory; good communication skills; and working proficiency in English. Finnish is not required. Experience with laboratory measurements, wireless signal processing, and transistor-level circuit design/simulation is an advantage.
Funding and conditions: the position is fixed-term under Aalto’s 2+2 model, initially for two years with a six-month probationary period and extendable to four years after a successful mid-term review. The starting salary is approximately 3100€/month. The project provides access to GPU computing, circuit simulation tools, and RF measurement infrastructure.
Application deadline: 9 October 2026 at 23:59 EEST. Apply via Aalto’s recruitment site; applications by email are not accepted. Required documents include a CV, a one-page motivation letter, MSc and BSc transcripts, and an optional recent recommendation letter.
Contact: Professor Kwantae Kim ([email protected]) for research questions and HR Advisor ([email protected]) for recruitment process questions.
Funding details
Fixed-term doctoral researcher contract under Aalto's 2+2 model: initially 2 years with a 6-month probationary period, extendable by 2 more years after successful mid-term review. Starting salary is approximately 3100€/month. The post provides GPU computing on Aalto's Triton HPC cluster, circuit simulation tools, and RF measurement infrastructure.
What's required
Applicants must hold a Master’s degree with an excellent study record in Electrical Engineering, Electronics, Microelectronics, Signal Processing, or a closely related field by the start date. Required experience includes machine learning with Python, including training neural networks in PyTorch or a similar framework, plus a solid background in signals and systems and analog circuit theory. Strong logical thinking, good communication skills, and working proficiency in English are required; Finnish is not required. Experience with laboratory measurements of analog or RF circuits, signal processing for wireless communication, and transistor-level circuit design and simulation are advantageous.
How to apply
Apply through Aalto University's recruitment site using the 'Apply now!' link. Submit all materials in English as PDF files; incomplete applications and email applications will not be accepted. Include a CV, a 1-page motivation letter, MSc and BSc transcripts, and an optional recent recommendation letter.
More information can be found here
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