Skip to main content

PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden

Project Overview

About the Position

Chalmers University of Technology invites applications for a Doctoral Student position in Machine Learning for Quantum Error Correction within the Department of Electrical Engineering. The position is part of the QuBriC European Doctoral Network, funded by the Marie Skłodowska-Curie Actions programme.

Quantum error correction (QEC) is essential for building reliable quantum computers. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding for surface codes and quantum LDPC codes.

Research Position Overview

The project aims to develop new learning-based decoders that meet the latency and hardware constraints required in practical quantum systems. You will work at the intersection of machine learning, quantum information science, and electrical engineering.

Research Areas

  • Machine learning for quantum error correction
  • Decoding algorithms for surface codes and quantum LDPC codes
  • Quantum computing hardware constraints
  • Scalable learning-based decoding
  • Latency-aware quantum error correction

Funding and Duration

ComponentDetails
Award or positionDoctoral student (employment)
Stipend / salarySEK 35,000/month starting salary
DurationFour years
Start dateEarly 2027
ReferenceREF 2026-0448

Eligibility and Requirements

CriterionRequirement
Applicant eligibilityWorldwide
Academic preparationMSc in computer science, electrical engineering, physics or a related field
LanguageEnglish proficiency required
Further conditionsMSCA mobility requirements apply; strong background in machine learning

Application dates

ComponentDetails
Recruitment statusOpen
Deadline30 November 2026
LocationGothenburg, Sweden

About Chalmers University of Technology

Chalmers University of Technology is a leading Swedish technical university with strengths in quantum technology, machine learning, and electrical engineering.

Official details: Read the programme or project information

Application route: Follow the official application instructions

MSCA 2026 rates: doctoral candidates receive a living allowance of €4,010 per month plus a mobility allowance of €710 per month (€660 family top-up where eligible), adjusted by the national correction coefficient.

Contact

Questions about this position, eligibility or the application process should be raised through the contact channel given on the official announcement page (see the Official Link section above). Always quote the position reference in your message so the admissions or HR team can route your enquiry quickly.

Official Link

Full announcement and application portal: https://web103.reachmee.com/ext/I003/304/job?job_id=15079&lang=GB&site=5&validator=a72aeedd63ec10de71e46f8d91d0d57c

Source: web103.reachmee.com - the details in this listing were recorded from this official page.

Important Notes

  • Application deadline: 30 November 2026 - late or incomplete applications are normally not considered.
  • Listing details were recorded from the official source at the time of publication; always confirm the latest requirements on the official page before applying.
  • Prepare the documents listed in the eligibility and application sections before starting the online form - transcripts, CV and references take the longest to collect.

How to Apply

Submit your application through the official portal before the deadline: 30 November 2026. Read the eligibility requirements carefully and prepare all requested documents — early applications are strongly recommended for competitive awards.

Open the official application page ↗

Application guides

Frequently asked questions

Drawn from this listing's own record. Always confirm the details on the official source before applying.

What is the deadline for PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden?

The application deadline is 30 November 2026. Applications received after that date are not considered, so treat it as a hard cut-off and leave time for references and transcripts. Closing time not specified — confirm with the provider before you leave it until the last day: the source gives neither a closing time nor a time zone.

Is PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden fully funded?

This is a fully funded award: tuition is covered and a living stipend is provided for the duration of the programme. SEK 35,000/month (starting salary).

Who is eligible to apply for PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden?

This opportunity is open to applicants worldwide. Host-country status is not a requirement, although you must still satisfy the visa rules for Sweden. Applications are assessed by Chalmers University of Technology.

How do I apply for PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden?

Applications for PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden are submitted directly to Chalmers University of Technology through the provider's own application portal — use the Apply button on this page to open it. NextApply does not process applications or charge a fee.

Is an English proficiency test required for PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden?

Yes — an English-language certificate is required for this listing. Check the exact band expected on the official source, since it can differ by programme. Requirements for Sweden are published by the provider.

What study level does PhD in ML for Quantum Error Correction 2027 — Chalmers University, Sweden offer?

This listing is offered at PhD level. That describes the qualification on offer, not a credential you must already hold — check the provider's stated entry requirements before applying.

Chalmers University of Technology logo

Hosted by

Chalmers University of Technology

Chalmers University of Technology is a leading Swedish technical university with strengths in quantum technology, machine learning, and electrical engineering.

Visit Website View all programmes →