• Home
  • News
  • Technology
  • Research
  • Teaching
  • Business
  • Jobs
  • Home
  • News
  • Technology
  • Research
  • Teaching
  • Business
  • Jobs
Contact
  • Deutsch
  • English

  • Home
  • News
  • Technology
  • Research
  • Teaching
  • Business
  • Jobs
Contact
  • Deutsch
  • English

Research associate (m/f/o) quantum computing

Research associate (m/f/o)
quantum computing

Quantum computing represents the next technological leap in computer science. Whilst physicists and engineers are developing the hardware, the software for quantum computers presents a challenge and is a crucial factor for success. As a recognised elite university, Ludwig Maximilian University in Munich has established the QAR-Lab to spearhead research in this field. Through our projects, we develop algorithms and platforms – the key innovations that will ensure quantum computers live up to the high expectations placed upon them. Our approach is practice-oriented: we have access to several existing QC systems, such as those from IBM, Fujitsu, D-Wave Systems and IonQ.

We want to put the quantum advantage into practice! We are looking for candidates (m/f/d) who share our passion for quantum computing and want to contribute to the future of computer science. To establish the QAR-Lab, we will be filling several full-time positions for research associates who are enthusiastic about making this project a success. We are looking for several research associates who are passionate about quantum computing and want to help us ensure the success of our numerous quantum computing projects.

The job
Occupation date
earliest possible
Application period
as of now
Weekly hours
Full-time
Contract terms
renewable annually
Your tasks include:
  • Research in the field of quantum computing
  • Collaborative research projects
  • Finding and improving algorithms for QC and QAI, particularly in the fields of optimization and AI, for various sectors such as manufacturing and logistics
  • Evaluation of existing QC and QAI algorithms
  • Defining and developing software platforms for NISQ computers, jointly with industry
  • Assisting teaching and overseeing bachelor and master students
What you can expect from us:
  • Exciting, interdisciplinary research with direct practical applications
  • Practical focus: We don’t just think about QC in theoretical terms – we put it into practice
  • Team spirit: a collegial, motivated environment with a high degree of personal responsibility
  • Modern technologies and access to real quantum computers
  • Career prospects: publications, conference attendance, career development in an academic context
Our requirements:
  • An excellent university degree in Computer Science
  • Curiosity, creativity and a passion for research and new technologies
  • Good, practical programming skills, preferably in Python
  • Experience in quantum computing would be an advantage (e.g. with IBM Qiskit, D-Wave Ocean and, where applicable, Xanadu Pennylane)
  • Expertise in optimisation and machine learning would be an advantage
  • A structured approach to work; project experience is a plus
  • A desire to work as part of a highly motivated team of experts Ability to communicate in English and German

The positions are temporary according to the project duration, with possibilities for extension. The place of work is in Munich. Part-time employment is generally possible.

Severely disabled applicants will be given preference if their suitability is otherwise essentially equal. Applications from women are welcome.

We will be happy to answer any questions you may have!

Application address:
We look forward to receiving your detailed application including cover letter, resume and references. Please send it preferably in one PDF-document
(max. 5 MB) by e-mail to: jobs-qc@mobile.ifi.lmu.de. The application period begins immediately and will remain open until the posts have been filled.

Tel. Chair Secretariat: +49 89 / 2180 9153

Apply


QAR-Lab – Quantum Applications and Research Laboratory
Ludwig-Maximilians-Universität München
Oettingenstraße 67
80538 Munich
Phone: +49 89 2180-9153
E-mail: qar-lab@mobile.ifi.lmu.de

© Copyright 2026

General

Team
Contact
Legal notice
AIONA Lab

Social Media

X-twitter Linkedin Github

Language

  • Deutsch
  • English
Cookie-Zustimmung verwalten
Wir verwenden Cookies, um unsere Website und unseren Service zu optimieren.
Funktional Always active
Die technische Speicherung oder der Zugang ist unbedingt erforderlich für den rechtmäßigen Zweck, die Nutzung eines bestimmten Dienstes zu ermöglichen, der vom Teilnehmer oder Nutzer ausdrücklich gewünscht wird, oder für den alleinigen Zweck, die Übertragung einer Nachricht über ein elektronisches Kommunikationsnetz durchzuführen.
Vorlieben
Die technische Speicherung oder der Zugriff ist für den rechtmäßigen Zweck der Speicherung von Präferenzen erforderlich, die nicht vom Abonnenten oder Benutzer angefordert wurden.
Statistiken
Die technische Speicherung oder der Zugriff, der ausschließlich zu statistischen Zwecken erfolgt. Die technische Speicherung oder der Zugriff, der ausschließlich zu anonymen statistischen Zwecken verwendet wird. Ohne eine Vorladung, die freiwillige Zustimmung deines Internetdienstanbieters oder zusätzliche Aufzeichnungen von Dritten können die zu diesem Zweck gespeicherten oder abgerufenen Informationen allein in der Regel nicht dazu verwendet werden, dich zu identifizieren.
Marketing
Die technische Speicherung oder der Zugriff ist erforderlich, um Nutzerprofile zu erstellen, um Werbung zu versenden oder um den Nutzer auf einer Website oder über mehrere Websites hinweg zu ähnlichen Marketingzwecken zu verfolgen.
Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
Einstellungen anzeigen
{title} {title} {title}