Computer Vision Center

Post-doc

Postdoc position on Quantum Machine Learning

접수중2025.12.24~2026.02.28

채용 정보

  • 접수 기간

    2025.12.24 00:00~2026.02.28 23:59

  • 접수 방법

    홈페이지지원더보기

  • 채용 구분

    신입/경력

  • 고용 형태

    계약직

  • 지원 자격

    박사

  • 모집 전공

    제어계측공학, 정보・통신공학, 전자공학, 전산학・컴퓨터공학, 전기공학, 의공학, 응용소프트웨어공학, 광학공학더보기

  • 기관 유형

    연구기관

  • 근무 지역

    해외(스페인)더보기

  • 연봉 정보

ABOUT CVC

The Computer Vision Center (CVC) is a non-profit research center established in 1995 by the Generalitat de Catalunya and the Universitat Autònoma de Barcelona (UAB). Its mission is to carry out cutting-edge research that has the highest international impact in the field of computer vision. It also promotes the transference of knowledge to industry and society.


Computer vision is an exciting research area and an omnipresent technology, essentially empowering machines with the sense of vision. The CVC is a successful marriage between knowledge and innovation. In addition to our cutting-edge scientific achievements, we have established lasting ties with industrial partners and created several spin-off companies.

CONTEXT AND MISSION

We are seeking a postdoc to join the Quantum Machine Learning team (QML-CVC) in beautiful Barcelona.


The QML-CVC team (https://qml.cvc.uab.es/) is part of the Computer Vision Center at the Universitat Autònoma de Barcelona; the CVC is a center with over 150 persons working machine learning and computer vision research.


The position is for 3 to 3.5 years, starting asap, focused on ‘Quantum Machine Learning’, with the objective of investigating hybrid classical-quantum and quantum inspired algorithms. The tasks will include the design and implementation of explorative research pathways for general problems related to machine learning and computer vision. Specific research lines can be defined in collaboration with the supervisor, with potential avenues including generative models, optimization tasks, or other specific applications.


The candidate will work in the context of the project ML-QSIM, a 4-year, 2M€ project funded by the Spanish Government, within a multidisciplinary team in collaboration with 3 most relevant institutions for the Spanish Research Council (CSIC): Centro de Investigación en Nanomateriales y Nanotecnología (CINN) in Asturias, Instituto de Nanociencia y Materiales de Aragón (INMA), and the Instituto de Ciencia de Materiales de Madrid (ICMM). Particularly, this will allow the validation of the research results in the Rydberg platform to be implemented during the lifetime of the project.


For informal inquiries, email me (fernando@cvc.uab.es).

This contract will be part of project I+D+i grant AIA2025-163435-C43, funded by MICIU/AEI/10.13039/501100011033/.


Skills/Qualifications

CANDIDATE ’S PROFILE

The candidate should possess a PhD in Quantum Information or Quantum Computing at the time of enrollment, and have experience and skills in algorithm design and implementation. The candidate should have a background in machine learning and experience is welcome in common software libraries such as Pennylane, Qiskit or similar.


Applicants are expected to be fluent in both oral and written communication in English. They should work well in a team while demonstrating initiative and independence. The candidate is expected to supervise PhD students.

Funding Conditions

  • • The position will be located at Computer Vision Center (Universitat Autònoma de Barcelona campus).
  • • We offer a full-time contract (37.5h/week) temporary contract with flexible working hours.
  • • Duration: Starting asap and before November 30, 2026 until final date of the project in November 30, 2029.
  • • Living allowance of 35-42k€/year (gross salary) depending on experience.
  • • Expected starting date: February 2026.

근무 예정지

대표해외(스페인) : Spain, Computer Vision Center, Cerdanyola del Vallés, 08193, Barcelona, Edifici O, s/n Campus UAB

기관 정보

Computer Vision Center

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  • 기관유형

    연구기관

  • 대표전화

    +34 93 581 18 28

  • 대표주소

    Edifici O, Campus UAB, 08193 Bellaterra(Cerdanyola), Barcelona

  • 홈페이지

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관련 키워드

Computer science
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