Senior Research Scientist

Natural Intelligence (NISYS GmbH); Frankfurt; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Research resources

Collaboration with external partners

Zusammenfassung

Natural Intelligence GmbH in Germany seeks a Senior Research Scientist to design novel recurrent architectures inspired by biology, blending neuroscience and machine learning. You will explore oscillatory dynamics and self-organization to advance computation.

We expect 4+ years of postdoctoral research, a PhD in a related field, and a track record in top conferences. You will implement models in PyTorch/JAX and collaborate with an infrastructure team on high-performance compute clusters.

Qualifikationen

• PhD required in neuroscience, ML, physics, mathematics, or computer science.
• 4+ years of postdoctoral research experience with a strong publication record.
• Solid foundation in mathematics for ML (linear algebra, probability, calculus).

Aufgaben

• Design and analyze novel recurrence-based architectures inspired by biology.
• Research biologically plausible learning rules and self-organization methods.
• Analyze dynamical systems, metastability, and wave-based information processing.
• Implement models in PyTorch/JAX and validate on internal compute cluster.

Kenntnisse

Python

Machine Learning

English communication

Ausbildung

PhD in Neuroscience/ML/CS/Physics/Math

Tools

PyTorch

JAX

Jobbeschreibung

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: Analyze 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 optimize 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 conceptualization 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.