Postdoctoral Researcher – Machine Learning, Data Science & Cloud Platforms (f/m/d)

Position Description

As a Postdoctoral Researcher at Cinemo, you will help shape and advance cutting-edge research topics at the intersection of Machine Learning, Data Science, GenAI, agentic systems, and modern cloud/backend platforms. You will contribute as an active researcher in the team—quickly assessing emerging directions, translating them into clear research narratives, and turning ideas into demonstrable prototypes and validated results.

A core part of this role is research communication and transfer: identifying suitable funding opportunities, framing research questions to match program goals, and producing high-quality project documentation and proposals in German. You will combine scientific rigor with a pragmatic engineering mindset to bridge research, implementation, and measurable impact.

In this role, you will:

Explore, assess, and structure new research topics in Machine Learning, Data Science, and Cloud Platforms, translating trends into research roadmaps.
Design and implement prototypes and proof-of-concepts spanning backend systems, cloud platforms, and AI/ML components.
Conduct state-of-the-art reviews, benchmarking, and evaluation to position ideas against current research and industry practice.
Identify relevant public funding opportunities and translate technical concepts into compelling project narratives, objectives, and work plans.
Write and coordinate high-quality German-language research project proposals and supporting. documentation with internal and external stakeholders
Collaborate across teams to connect research outcomes with production needs, scalability requirements, and real-world constraints.

What you will need to succeed:

PhD in Computer Science, Machine Learning/AI, Data Science, Software Engineering, or a closely related field.
Proven research excellence (e.g., publications, strong methodological foundation, ability to ramp up quickly on new topics).
Demonstrated experience producing high-quality technical writing (e.g., grant proposals, project descriptions, scientific reports).
Solid engineering skills across ML and software systems, including Python, modern ML tooling, and backend/cloud architectures.
Strong ability to connect scientific contributions with practical application, evaluation, and stakeholder needs.
Very strong written and spoken German and English communication skills (proposal-grade).