Senior Scientist in Experimental Quantum Machine Learning

University of Vienna; Österreich; Vor Ort; EUR 100 000 - 125 000; Vollzeit

Zusammenfassung

A leading European university in Austria is seeking a Senior Scientist in Experimental Quantum Machine Learning. The role involves active research participation, development of independent research profiles, and responsibilities in teaching and administration. Candidates should have a PhD in physics, over 3 years of post-doctoral experience in quantum photonics, and a strong research background. The position offers a basic salary of €4,932.90 before taxes and flexible working hours.

Leistungen

Flexible and family-friendly working hours

Ongoing training and coaching opportunities

Pension fund

Travel allowances

Childcare support

Qualifikationen

• Post-doctoral experience: more than 3 years in experimental quantum photonics and quantum computation.
• Profound expertise in integrated quantum photonics and multi-photon processing for quantum machine learning.
• High ability to express yourself both orally and in writing.

Aufgaben

• Active participation in research, teaching & administration.
• Develop and strengthen an independent research profile.
• Responsible for project applications and acquisition of third-party funding.

Kenntnisse

Experimental quantum photonics

Quantum computation

Teaching

Research competence

English proficiency

Ausbildung

Doctoral degree/PhD in physics

Jobbeschreibung

Senior Scientist in Experimental Quantum Machine Learning

Faculty of Physics

Start date: 01.02.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)

Contract: Limited to 1 year with possibility of subsequent unlimited employment
Reference no.: 4940

How can we perform table‑top experiments to obtain new insights into the foundations of quantum physics? Can we measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning, quantum computing and quantum cybersecurity applications? Can we scale‑up multi‑photon platforms by using integrated optics, quantum‑dot single‑photon sources and customised two‑dimensional non‑linear materials? Such questions are the driving force behind our research. You will be part of our team and develop new ideas, technologies and experiments.

Your personal sphere of play

The research group “Quantum Information Science and Quantum Computation”, led by Univ.–Prof. Dr. Philip Walther, is part of the Quantum Optics, Quantum Nanophysics & Quantum Information at the Faculty of Physics, and a member of the Vienna Center for Quantum Science and Technology (VCQ) – one of the largest quantum hubs in Europe – and the Austrian Cluster of Excellence quanta. The group’s research combines the development of scalable photonic quantum technology for quantum computing and other quantum information applications with the investigation of fundamental quantum science questions. The main activities reach from quantum control of single photons using solid‑state photon sources, integrated waveguide technology, tailored non‑linear media and detectors based on superconducting technology to interferometric precision measurements of weak gravitational forces.

Future tasks

• Active participation in research, teaching & administration.
• Develop and strengthen an independent research profile.
• Involved in research projects and studies.
• Publish internationally and give presentations.
• Responsible for project applications and the acquisition of third‑party funding.
• Hold courses independently as defined by the collective agreement.
• Participate in evaluation measures and quality assurance.
• Involved in department administration as well as in teaching and research administration.

This is part of your personality

• Doctoral degree/PhD in physics or equivalent qualification.
• Post‑doctoral experience: more than 3 years in experimental quantum photonics and quantum computation.
• Profound expertise in integrated quantum photonics, multi‑photon processing for quantum machine learning, and/or quantum neuromorphic computing.
• Research competence and initiative proven through international publications in peer‑reviewed, subject‑relevant media.
• Didactic competence: motivated to teach and communicate knowledge to students.
• High ability to express yourself both orally and in writing.
• Excellent command of written and spoken English.
• IT user skills.
• Ability to work independently and collaboratively and handle several concurrent, fast‑paced projects.

What we offer

• Work‑life balance: Flexible and family‑friendly working hours, partial home office.
• Inspiring working atmosphere: International team with excellent research infrastructure in a relaxed environment.
• Good public transport connections.
• Climate neutrality – sustainability: University of Vienna aims for climate neutrality by 2030.
• Fixed‑term contract and adequate salary: Limited to 1 year with possibility of unlimited employment. Basic salary: EUR 4,932.90 (full‑time) before taxes.
• Internal training and coaching: Ongoing opportunities to deepen skills through free courses.
• Benefits: Pension fund, travel allowances, low‑cost parking, discounted IT, language courses, diversity management, childcare support, health care, vaccination campaigns, fitness offers, company discounts.

It is that easy to apply

• Letter of motivation
• Academic curriculum vitae (including a list of publications, courses, and talks)
• Description of research interests and research agenda
• Contact details of 2 reference contacts

Via our job portal / Apply now button.

For any content questions, please contact:
Philip Walther
[e-mail]

We look forward to new personalities in our team!

The University of Vienna has an anti‑discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

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Application deadline: 12/08/2025