Senior Research Scientist

Organisation/Company Natural Intelligence (NISYS GmbH) Research Field Computer science Researcher Profile Recognised Researcher (R2) Application Deadline 11 Sep 2026 - 23:00 (UTC) Country Germany Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Senior Research Scientist (m/f/d) Location: Frankfurt am Main, Germany (On-site) Type: Full-time (Initially 3 years) Openings: Several Natural Intelligence (NISYS GmbH) , a newly founded deep-tech startup at the intersection of neuroscience and machine learning, invites applications for a Senior Research Scientist to join our core RD team. Join an ambitious team dedicated to translating cutting-edge neuroscientific insights into robust, efficient next-gen AI systems, including implementations in novel analog hardware platforms. You will lead the theoretical development and simulation of a new generation of brain-inspired AI architectures. The company had successfully raised a multi million Euro seed round and is fully funded for the coming years. The Role As a Senior Research Scientist at Natural Intelligence GmbH, you will not just build upon existing feed-forward ML models, but you will design and test novel recurrent architectures based on biological principles. You will explore how recurrence, oscillatory dynamics, and self-organization can drive computation. Working closely with our Infrastructure Engineers, you will translate high-level mathematical theory into scalable, functional code. Key Responsibilities Novel Architecture Design: Develop and analyze computational models inspired by the HORN model and oscillatory recurrent network architectures. You will investigate how biology-inspired architectural priors can outperform current digital AI systems. Dynamics & Learning Algorithms: Research and implement biologically plausible learning algorithms, synaptic plasticity, and self-organization rules. Expect to move beyond standard backpropagation to explore alternative, biology inspired readout mechanisms and learning rules. Theoretical Analysis: Analyse the state spaces of dynamical systems, focusing on metastability and wave-based information processing to understand how these networks compute. Simulation & Implementation: Implement biology-inspired oscillator networks and spiking neuron models using high-performance frameworks (PyTorch/JAX). You will validate these models on our internal compute cluster. Cross-Disciplinary Collaboration: Collaborate with external partners on implementing these concepts on analog hardware platforms, and work in tandem with our Infrastructure Engineers to optimise research workflows. Your Profile We are seeking senior post-doc level researchers with 4+ years of postdoctoral research experience who bridge the gap between theoretical neuroscience and modern machine learning. In short, you are a scientist who codes, driven to understand the "why" behind intelligence. Essential Technical Requirements Education: Ph.D. in Neuroscience, Machine Learning, Physics, Mathematics, Computer Science, or a related field with 4+ years of experience as postdoctoral researcher is required . Track Record: A proven history of research excellence, demonstrated by peer-reviewed publications in top-tier conferences (Cosyne, NeurIPS, ICML, ICLR) or journals (Nature, Science, PNAS, etc.). Mathematical Foundation: Solid understanding of the mathematics underlying machine learning (linear algebra, statistics, calculus). Scientific Expertise: Deep understanding of dynamical systems, recurrent neural networks, and machine learning in general. Familiarity with oscillatory dynamics or the HORN model is a strong plus. Coding Proficiency: Multi-year experience with Python and deep learning frameworks (PyTorch/JAX). Soft Skills Research Autonomy: Strong self-management skills with the ability to take a research project from conceptualisation to publication and implementation. Communication: Excellent written and verbal communication skills in English, with the ability to explain complex theoretical concepts to engineering teams. Knowledge of German a plus, but not required. Collaborative Mindset: You enjoy working in an interdisciplinary environment where physics, biology, and computer science converge. What We Offer Impact: A unique opportunity to work on the frontier of Neuro-AI, where your research directly shapes the company's technological core and intellectual property. Environment: A creative setting combining academic rigor with entrepreneurial agility. You will work within a network of renowned research institutes while enjoying the fast-paced execution of a startup. Resources: Access to state-of-the-art compute clusters and a dedicated infrastructure team to support your experiments. Growth: Opportunities to collaborate with international partners, present your work at international conferences, and explore implementations on novel analog hardware. Package: Competitive salary and benefits package. Natural Intelligence (NISYS GmbH) is a research-driven startup founded by Dr. Felix Effenberger and Prof. Wolf Singer. Our mission is to leverage the principles of brain dynamics, self-organisation, and oscillatory computation to create a new generation of intelligent systems. Based in Frankfurt am Main, Germany, we collaborate closely with local academic institutions, including the Ernst Strüngmann Institute. The call for applications will remain open until early September2026. We expect to review applications after the call closes and aim to get back to candidates in mid to late September. #J-18808-Ljbffr