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Doctoral researcher

A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians

Aalto University

Aalto University is recruiting a doctoral researcher to develop machine-learning methods for electron-phonon interactions and Wannier-based Hamiltonians.

Otaniemi, Espoo, FinlandEUR 3,142.65 gross per month.

The application window for this cycle has ended. The programme page tracks the next cycle.

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Employment

Vacancy terms

Career stage
Doctoral researcher
Employment type
Not stated
Contract
Not stated
Contract ends
Not stated
Original contract term
Initially fixed-term for two years
Schedule
Not stated
Workplace
Not stated
FTE
Not stated
Salary
EUR 3,142.65 gross per month.
Department or school
Not stated
Posted
13 Jul 2026
Role

Responsibilities

  • Develop machine-learning methods for electron-phonon interactions.
  • Work with Wannier-based Hamiltonians and computational research tools.
Candidate profile

Qualifications and requirements

Qualifications

  • Relevant master’s degree in chemistry, physics, materials science, mathematics, computer science, or a related field.
  • Programming experience, especially Python.

Requirements

  • English proficiency.
  • Ability to conduct computational doctoral research.
Application

Documents and steps

Documents

  1. Contact details for at least two referees
  2. Curriculum vitae
  3. Motivation letter

Steps

  1. Review the vacancy requirements.

  2. Prepare a motivation letter, CV, and referee contacts.

  3. Submit through Aalto University Workday by 31 August 2026.

Official evidence

Sources behind this vacancy

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Programme continuity

A Doctoral Researcher (PhD student) in Machine Learning for Electron–Phonon Interactions and Wannier-Based Hamiltonians

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Programme overview and cycle history