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Electrical Engineering● OpenPreview

Doctoral Researcher in Hardware-Aware AI for Analog and RF Circuits

Join Aalto University to develop AI models for energy-efficient 6G transmitters.

Best for:Best for candidates with a strong background in electrical engineering and machine learning.

AALTO UNIVERSITY · Espoo, Finland · R1 · First-stage researcher
More professors at AALTO UNIVERSITY
AI for circuitsAnalog circuitsRF circuitsMachine learning6G technology
Deadline
Oct 9, 2026
Expired
Funding
Salaried
€3.1k/mo
Start date
flexible
Full-time
Location
Espoo
Finland

Overview

Aalto University is seeking a Doctoral Researcher to join the Tiny Systems and Circuits group within the Department of Electronics and Nanoengineering. The role involves creating hardware-aware AI models for analog and RF circuits, contributing to the advancement of energy-efficient AI-driven 6G transmitters. The successful candidate will engage in model validation, hardware-algorithm co-design, and will have opportunities to publish research findings. This position also includes teaching responsibilities as part of the doctoral studies.

Doctoral ResearcherHardware-aware AIAnalog circuitsRF circuitsEnergy efficiencyPythonMachine learningAalto University

What you'll do

  • Develop hardware-aware behavioral models of analog and RF circuits using Python.
  • Validate models through circuit simulations and real-world measurements.
  • Engage in hardware-algorithm co-design for AI-driven 6G transmitters.
  • Publish and present research results at international conferences.
  • Complete a doctoral thesis as part of the Aalto Doctoral Programme in Electrical Engineering.
  • Participate in teaching activities related to doctoral studies.

Requirements

Degree required: Master’s degree in Electrical Engineering, Electronics, Microelectronics, Signal Processing, or a closely related field

Degree offered: PhD

Language: English; proficiency required

Instruction: English

Publications: Publication record is not explicitly required but is encouraged.

Required skills
  • Practical experience in machine learning with Python, including training neural networks in PyTorch or similar frameworks.
  • Strong understanding of signals and systems and analog circuit theory.
  • Excellent logical thinking and communication skills.
  • Working proficiency in English.
Nice to have
Experience with laboratory measurements of analog or RF circuits.Familiarity with signal processing for wireless communication.Knowledge of transistor-level circuit design and simulation.
Eligibility
  • Candidates must hold a Master’s degree by the start of the position.
  • No specific nationality or residency requirements mentioned.

Funding & terms

Type
Salaried
Amount
€3.1k/mo
Duration
4 years
Programme
Aalto University
Aalto University

How to apply

Deadline: 2026-10-09T23:59:59 (Europe/Helsinki)

To apply, submit your application through the recruitment site by the deadline. Ensure all materials are in English and in PDF format. Incomplete applications will not be considered.

Documents required
  • CV
  • Motivation letter (max. 1 page)
  • Transcript of study records for MSc and BSc degrees
  • Recommendation letter (max. 1, if available)
↗Apply on site

Contact

KK
Prof.
Kwantae Kim
Department of Electronics and Nanoengineering
Lab
Tiny Systems and Circuits (TSirc) group
AALTO UNIVERSITY
Finland
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