Job advertisement

Vacancy ID: 030/2023
Closing date: 2023-02-28

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Friedrich Schiller University is a traditional university with a strong research profile rooted in the heart of Germany. As a university covering all disciplines, it offers a wide range of subjects. Its research is focused on the areas Light—Life—Liberty. It is closely networked with non-research institutions, research companies and renowned cultural institutions. With around 18,000 students and more than 8,600 employees, the university plays a major role in shaping Jena’s character as a cosmopolitan and future-oriented city.

The Faculty of Mathematics and Computer Science seeks to fill one position

PhD/Postdoc in High-Performance Computing
and Machine Learning

starting May 2023 or later. The full-time position (40 hours per week) is in the Scalable Data- and Compute-intensive Analyses Group (https://scalable.uni-jena.de) and initially limited to three years.

The Scalable Data- and Compute-intensive Analyses Group tackles computationally demanding challenges in research and industry. We cover the involved disciplines from the bare metal of computer architectures to fully automated production workflows by integrating modeling and simulation, high-performance computing, software engineering, data analytics, and verification and validation. This overarching approach is key for building visionary, transferable, robust and efficient software pipelines.

Your responsibilities:

    • Develop efficient software from the machine code level to complex scientific solvers
    • Work on Machine Learning backends and maximize their performance for diverse microarchitectures
    • Harness some of the largest supercomputers in the world and work with emerging and novel hardware
    • Propose end-to-end approaches for simulation and data sciences, and discuss them with partners in academia and industry
    • Share your solutions with the research community through a variety of outlets
    • Support teaching activities in efficient and scalable computing at all levels
    • Contribute to the design of state-of-the-art courses by integrating your own research experiences
    • Work on your scientific qualification, e.g., your doctorate or habilitation

Your profile:

    Required qualifications:

    • Master's / Ph.D. degree in Computational and Data Science, Computer Science, Mathematics or a related field
    • C / C++ skills and a passion for writing high quality code
    • Experience in programming at the lowest levels (assembly and machine code)
    • Experience in parallel programming and hardware architectures
    • Expertise in the area of numerical algorithms and data analytics
    • Willingness to expand your expertise to new and project-relevant areas
    • Strong verbal and written communication skills
    • Willingness to work in a dynamic and team-oriented environment

    Desired qualifications:

    • Experience with Machine Learning / Deep Learning frameworks and libraries
    • Python skills including interfaces to C / C++ or intermediate layers
    • Experience with good software engineering practices

We offer:

    • A Graduate Academy for doctoral candidates and postdocs
    • A family-friendly working environment with a variety of offers for families: University Family Office ‘JUniFamilie’ and flexible childcare (‘JUniKinder)
    • University health promotion and a wide range of university sports activities
    • Attractive fringe benefits, e.g., capital formation benefits (VL), Job Ticket (benefits for public transport), and an occupational pension (VBL)
    • 30 days of recreational leave in the calendar year plus two days off for Dec. 24 and Dec. 31.
    • Remuneration based on the provisions of the Collective Agreement for the Public Sector of the Federal States (TV-L) at salary scale E13 — depending on the candidate’s personal qualifications—, including a special annual payment in accordance with the collective agreement

Candidates with severe disabilities will be given preference in the case of equal qualifications and suitability.

Apply by sending your documents (informal cover letter, curriculum vitae in tabular form, transcripts), stating the vacancy ID 030/2023 by 28.02.2023 to:

Friedrich-Schiller-Universität Jena
Fakultät für Mathematik und Informatik
Alexander Breuer
Ernst-Abbe-Platz 2
07743 Jena, Germany
E-Mail: alex.breuer@uni-jena.de

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