Job Category: external

  • PostDoc: Foundation Models for Knowledge Graphs

    The Institute for Artificial Intelligence, Analytic Computing group, at the University of Stuttgart invites applications for a full-time position as PostDoc for 2 years (100% TV-L E13; possibly extensible) working on Foundation Models for Knowledge Graphs.

    What will you contribute?

    You will undertake foundational research on automating the management of data and knowledge by techniques that combine machine learning, logics, and natural language understanding. Your work will facilitate data integration, data analysis, and human-data interaction. You will define and lead upcoming projects in this area. You will advise and tutor bachelor’s, master’s, and PhD students in the computer and data science programs of the department on topics related to your research.

    What is your profile?

    You enjoy interacting and collaborating with other team members. You are forward-thinking, you seek confirmation by applying your research ideas not only to toy problems, but also to real-world problems. You enjoy precise analytical thinking and apply scientific rigor in your research practice and writing, as also evidenced by successful publications in relevant conferences and/or journals.

    What do they offer?

    They provide a friendly yet challenging interdisciplinary research environment and support your academic career in successfully extending your academic profile through cutting-edge publications. The Institute for Artificial Intelligence is part of Cyber Valley, the largest and most prestigious research center for AI in Europe. Through the International Max Planck Research School for Intelligent Systems, the ELLIS Unit Stuttgart, and the ELLIS Network as a whole, they offer excellent opportunities for collaboration from local to international levels. The salary amounts to German TV-L E13, which ranges from 62,000 to 71,000 Euro per year (before taxation), depending on your experience.

    How to apply?

    Applications submitted before November 16, 2026, will receive preferential treatment. Applications will be accepted until the position is filled. Please submit the following documents to apply:
    1. a motivation/cover letter that highlights why you are the right fit for this specific position,
    2. a curriculum vitae,
    3. scans of all your original final transcripts and diploma certificates from each university degree (Bachelor, Master, Doctorate). Please include translations into English or German. They accept translations made by yourself. They have more than 10 nationalities in their group, and they can likely confirm the accuracy of your translation internally.
    4. Submit your applications via this link.
    5. Email applications will be ignored.

    Women who apply will be given preferential consideration in areas in which they are underrepresented, provided they have the same aptitude, qualifications, and professional performance. Severely disabled applicants with equal qualifications will be given priority.

    More questions?

    Personal inquiries can be directed to Prof. Staab.

  • Student Assistant CELLnROLL

    The Max Planck Institute for Intelligent Systems (MPI-IS) conducts research to advance intelligent systems that perceive, learn, and interact. Through fundamental research across computational, physical, and social dimensions, they shape artificial intelligence and robotics to advance knowledge and benefit society.

    The position

    Are you interested in contributing to the future of biomedical diagnostics while gaining hands-on experience with cell culture techniques? They develop cutting-edge diagnostic methods that rely on high-quality, reliable cell culture work. They are seeking a motivated student assistant to help maintain their cell lines and support their experiments, contributing directly to the development of novel diagnostic solutions.

    Roles and responsibilities

    In this research context, they are looking for a talented student who is pursuing a Bachelor’s or Master’s degree in biology (Biologie), biotechnology (Biotechnologie), biomedical sciences (Biomedizin), molecular medicine (Molekulare Medizin) or a related life sciences discipline to support their research as a student assistant (HiWi).

    Typical tasks include:

    • Cultivation and maintenance of various cell lines (thawing, passaging, cryopreservation).
    • Preparation of culture media and reagents.
    • Assisting with cell-based assays relevant to our diagnostic experiments.
    • Documentation of lab activities.

    Education and experience

    Applicants should have

    • Enrollment at a German university in a relevant field such as biology, biotechnology, biomedicine, molecular medicine, or a related discipline.
    • Previous laboratory experience in cell culture (e.g., during a Bachelor’s thesis.
    • Good laboratory practices (GLP) and a careful, independent work style.
    • Good oral and written communication skills in English.

    They are also interested in candidates who have

    • Experience with sterile work under a biosafety cabinet.
    • Familiarity with basic microscopy.
    • Interest in learning additional techniques related to diagnostics and molecular biology.

    The offer

    • Work closely with an interdisciplinary and international research team.
    • Contribute directly to innovative diagnostics research with real-world impact.
    • Flexible working hours compatible with your study schedule.
    • Students without a Bachelor’s degree will earn €15,00 per hour. Students holding a Bachelor’s degree will be paid €15,61 per hour. Contracts are given per semester.

    Application

    Applications should include the following documents (in English or German):

    • A résumé in English or German
    • A brief cover letter in English explaining your interest in this position.
    • Curriculum vitae, including a summary of education, research experience, relevant skills, and (if applicable) publications and software contributions

    Please send the requested documents in a single PDF file, via the application portal. The posting is open until filled.

    The Max Planck Society is committed to increasing the number of individuals with disabilities in its workforce and therefore encourages applications from such qualified individuals. The Max Planck Society strives for gender equality and diversity. Furthermore, the Max Planck Society seeks to increase the number of women in its workforce in those areas where they are underrepresented and therefore explicitly encourages women to apply.

  • Research internship for PhD students

    Feyer is building algorithms that can discover new optical, quantum, and other physical technologies. For this they are building AI models that learn from differentiable physics simulators.

    The research

    Their design methods, built on differentiable physics simulators, have already discovered new experiments that were built and tested in laboratories. With funding from SPRIND’s Next Frontier AI Challenge, they are now building a new generation of optimizers for physics design.
    Most optimizers use only loss values and local gradients. The Neural Explorer also receives the simulator’s computational graph, including its topology, operations, intermediate values and gradients. It learns to propose larger moves that may escape local optima.

    Research topics

    • Graph neural architectures and representations for large JAX computational graphs
    • Learned optimizers, non-local search and combinations of neural and classical methods
    • Scalable data generation, GPU training and rigorous equal-compute benchmarks

    Who you are

    • An enrolled PhD researcher in ML, optimization, scientific computing, differentiable programming or a related field
    • A careful researcher who can design clear experiments for open-ended questions
    • Excellent Python skills; experience with JAX or a comparable autodiff stack
    • Comfort working independently in a small research team

    Physics expertise is welcome, but not required.

    Duration: 3 to 6 months

    Start: Flexible / ideally ASAP

    Location: Tübingen AI Center or Munich Urban Colab

    Format: Paid, 80% to full-time internship

    Application

    Send your CV, a short note on fit, preferred dates and desired duration to careers@feyer.ai.

    For questions, contact klimesch.jonathan@gmail.com.

  • Two Full Professorships: Machine Learning and Intelligent Systems

    The Tübingen AI Center invites applications for two tenured full professorships (W3) in Machine Learning and Intelligent Systems, to start as soon as possible. The successful candidates will be appointed at the University of Tübingen. The positions provide generous, permanent core funding (e.g. for PhD students or postdocs) and substantially reduced teaching responsibilities.

    They are a federal competence center for AI education and research. Their research pushes the boundaries in numerous aspects of intelligence, including algorithms and models for machine learning, autonomous, causal, and agentic intelligence, as well as interaction with humans, markets, and society at large. Their core mission is to educate and empower the next generation of researchers to build the technological foundations of a competitive, sustainable, sovereign European society – through excellence in teaching, active technology transfer and societal action. They invite applications in all areas of machine learning, artificial intelligence, and related disciplines.

     The Tübingen AI Center is a joint research hub between the University of Tübingen and the Max Planck Institute for Intelligent Systems, situated in Tübingen’s rapidly growing science and technology campus. The center is home to seventeen full professors and will grow steadily over the next five years, with a commitment to increasing the diversity of the team. They maintain close links to ELLIS, a Europe-wide research network in machine learning, and the ELLIS Institute Tübingen, as well as to the Cyber Valley initiative that connects researchers with startups and industry in the area. 

    They seek internationally renowned candidates who pursue compelling long-term research agendas that complement and extend their expertise. Your application should explicitly articulate how you intend to contribute to their mission. They offer competitive budgets and compensation packages, with permanent funds allocated for research staff.

    Candidates will be evaluated based on their potential for further growth in scientific excellence, considering past scientific contributions as well as the novelty, creativity, and uniqueness of their research vision.

     Required qualifications include a PhD or equivalent degree with exceptional expertise in machine learning as well as postdoctoral qualifications and teaching experience equivalent to the requirements of a full professorship. Teaching and research are conducted in English.

    The University of Tübingen is committed to equity and diversity and actively promotes equal opportunities. Female academics, in particular, are explicitly invited to apply, as are candidates from outside Germany. Applications from equally qualified candidates with disabilities will be given preference.

    For more information on professorships, the hiring process, and the German academic system, please click here.

    Location: The center is located near Stuttgart in the historic university town of Tübingen, a beautiful location in southwest Germany close to a large natural preserve. Major cities such as Zurich, Munich and Frankfurt can be reached within a few hours by public transport. Stuttgart airport, with many direct flights to major international cities, is just half an hour away.

  • Machine Learning Lead

    About MATVIS

    MATVIS secures AI agents. They inspect traffic inline, on any model and any infrastructure, and stop prompt injection, PII leakage, data exfiltration and shadow AI before they reach anything that matters. Model-agnostic, ISO 27001 certified, and deployed inside their customers’ own environments so their data never leaves.

    Founded in Tübingen in 2023. Enterprise customers run them in production today, most of them working against AI Act and NIS2 deadlines, so they can deploy AI with confidence.

    Your role

    As one of their two Machine Learning Leads, you will:

    • Own core detection and analysis features end to end: dataset collection, training, evaluation, deployment, and everything that breaks afterwards.
    • Work across the full threat surface: prompt injection, jailbreaks, PII detection and redaction, content filtering, data exfiltration, agent misuse.
    • Build the parts of the detection stack that are not models: traffic analysis for Policy Autopilot, parametrization, and the business logic that turns a signal into a decision.
    • Build and defend the benchmark harness. Detection rate, false positive rate and latency are product metrics here, and customers feel all three.
    • Design security into the pipeline itself. They build their detection infrastructure in house, from data provenance through to their own training and evaluation tooling.
    • Ship containerized services into Docker and Kubernetes environments.
    • Debug across the full stack, from model output through runtime, container and network.

    Must have

    • Full MLOps ownership. You have taken a model from raw data into production and kept it running.
    • Strong Python and PyTorch.
    • A security instinct: pentesting, red teaming, CTF, bug bounty or adversarial ML. If you can attack systems and train models, they are interested regardless of what your degree says.
    • Benchmarking and evaluation discipline.
    • Clear written communication and a collaborative, adaptable way of working. Small team, high async load.
    • Docker and REST APIs.
    • Fluent English, written and spoken.

    Nice to have

    • Experience attacking LLM applications that were already in production.
    • Kubernetes, SQL.
    • German.

    What they offer

    • Competitive salary based on industry standards.
    • Tübingen, in the middle of Cyber Valley, next to the Max Planck Institute, ELLIS and the Tübingen AI Center. Or remote within Germany.
    • Flexible working hours.
    • A team small enough that what you build ships within weeks.

    Connect with them and apply now!

    Take the next step in your career and apply today. Send them your CV as a PDF to career@matvis.com with Machine Learning Lead in the subject line. No cover letter needed. If you have public work, such as CVEs, CTF write-ups, papers or repositories, send the links. They count for more than the CV. They read every application and reply either way.

    MATVIS is committed to diversity and inclusion. They strive to build a diverse team and welcome applications from people of different backgrounds, skin color, religion, sexual identity, gender, disability or age. Follow them on LinkedIn to stay up to date with what’s happening at MATVIS.