AHvos Careers
Available Job Openings
AHvos is hiring - take a look at current job postings and apply so you too can be part of the AHvos revolution
Key Responsibilities:
- Develop Novel Mathematical Frameworks: Conceive, develop, and rigorously analyze new mathematical theories, models, and formal systems to precisely define, classify, and quantify concepts such as: Biological, computational and algorithmic consciousness; general, flexible, and transferable intelligence; Algorithmic rationality .
- Interdisciplinary Collaboration: Act as a mathematical lead in a highly collaborative, cross-functional research team. Bridge the gap between abstract mathematical theory and empirical findings from neuroscience, physics, linguistics, and philosophy to create unified theoretical models to be applied to AHvos' innovative mathematical approach to Artificial Intelligence, Theory of Mind, and Cognitive Science via CRI's Atomic Networks.
- Algorithm Design and Theory: Translate mathematical concepts into novel theoretical computer science algorithms and computational methods that can be tested on AHvos' advanced Artificial Intelligence architectures.
- Research Leadership: Mentor junior researchers, set the mathematical scientific agenda for a critical area of mathematical frontier artificial intelligence research, and secure leadership buyoff from AHvos' executive team where appropriate.
- Write and Present: Generate high-impact research, resulting in internal publications and external white papers and use case studies to be distributed externally in top-tier accredited peer reviewed journals and/or presented internally and externally at conferences.
- Communications Leadership: Communicate complex mathematical ideas clearly and effectively to non-mathematicians and collaborate productively with experts from diverse scientific backgrounds across AHvos' team.
About the Role:
- We are seeking a highly accomplished and visionary Senior Research Scientist in Mathematics to join our interdisciplinary Frontier Artificial Intelligence Core Research team. This is a unique opportunity to apply deep mathematical expertise to some of the most profound and challenging problems in Cognitive Science and Theory of Mind: the algorithmic classification, quantification, and description of consciousness, intelligence, and rationality.
The successful candidate will drive foundational research at the intersection of pure mathematics, theoretical and quantum physics, neuroscience, linguistics and philosophy. This work is a core part of a joint pure fundamental research effort to build new theoretical mathematical frameworks for advanced cognitive science.
If you are passionate about pushing the boundaries of mathematical theory to solve one of the grand challenges of science—understanding the nature of mind in an algorithmic form—we encourage you to apply.
Qualifications:
- Education: A Ph.D. in Pure Mathematics, Applied Mathematics, or Theoretical Physics is required, or 7+ years of equivalent demonstrated research experience on the specified research areas below.
- Expertise in Functional Analysis and Operator Theory: Deep, demonstrable knowledge of infinite-dimensional Hilbert spaces, including the spectral theory of self-adjoint operators. Proven experience working with quantum operators and their applications in and outside mathematical physics is essential.
- Advanced Proficiency in Differential Geometry and Topology: Mastery of tensor analysis and its application to the study of high-dimensional manifolds. The candidate must have experience in analyzing the topological and geometric properties ("topography") of manifolds represented in hyper-dimensional spaces.
- Specialization in Geometric Representation Theory: Proven research experience in analyzing the curvature of manifolds, specifically through their matrix representations. This includes familiarity with Lie groups, Lie algebras, and their connections to the geometry of the underlying space.
- Strong Research Record: A consistent record of working on original research focused on mathematical physics, functional analysis, or geometry and topology. The portfolio must include significant contributions to one or more of the core specializations listed.
- Computational and Algorithmic Skills: Proficiency in using computational algebra systems and programming languages (such as C, C++, Mathlab, etc.) for symbolic manipulation, numerical simulation, and visualization of complex geometric and algebraic structures.
Key Responsibilities:
- Develop Novel Physical Theories of Computational Cognition: Conceive, develop, and rigorously test novel theoretical physics models that treat intelligence and consciousness as emergent phenomena represented in complex, high-dimensional spaces to precisely define, classify, and quantify concepts such as: Biological, computational and algorithmic consciousness; general, flexible, and transferable intelligence; and Algorithmic rationality.
- Interdisciplinary Collaboration: Act as a physicist lead in a highly collaborative, cross-functional research team. Bridge the gap between abstract physical theory and empirical findings from neuroscience, mathematics, linguistics, and philosophy to create unified theoretical models to be applied to AHvos' innovative physics-based mathematical approach to Artificial Intelligence, Theory of Mind, and Cognitive Science via CRI's Atomic Networks.
- Algorithm Design and Theory: Translate physics concepts into novel theoretical computer science algorithms and computational methods that can be tested on AHvos' advanced Artificial Intelligence architectures.
- Quantify Emergence and Complexity: Apply principles from Statistical Mechanics, Complex Systems Theory, Information Geometry, or Quantum Information Theory to create quantitative measures for integrated information, system complexity, and phase transitions relevant to algorithmic consciousness and generalized intelligence.
- Model Validation and Prediction: Translate theoretical models into computational frameworks, working with AHvos researchers to design experiments that validate the physical predictions on large-scale AHvos' CRI Atomic Networks-based architectures.
- Research Leadership: Mentor junior researchers, set the physics scientific agenda for a critical area of physics-based frontier artificial intelligence research, and secure leadership buyoff from AHvos' executive team where appropriate.
- Write and Present: Generate high-impact research, resulting in internal publications and external white papers and use case studies to be distributed externally in top-tier accredited peer reviewed journals and/or presented internally and externally at conferences.
- Communications Leadership: Communicate complex physics ideas clearly and effectively to non-physicists and collaborate productively with experts from diverse scientific backgrounds across AHvos' team.
About the Role:
- We are seeking a profoundly innovative and accomplished Senior Research Scientist in Physics to join our pioneering Frontier Artificial Intelligence research initiative. This role involves applying advanced physical theories and mathematical concepts to the most challenging questions in artificial intelligence: the algorithmic modeling, quantification, and description of consciousness and intelligence.
The successful candidate will co-lead foundational research in developing physical frameworks for computational processes, exploring ideas like cognition and the geometry of information processing and its relationship to conciousness. This research is a core, collaborative effort involving mathematicians, neuroscientists, linguists, and philosophers.
If you are passionate about pushing the boundaries of physics-based mathematical theory to solve one of the grand challenges of science—understanding the nature of mind in an algorithmic form—we encourage you to apply.
Qualifications:
- Education: A Ph.D. in Theoretical Physics, Statistical Physics, Computational Quantum Mechanics, Complex Systems, Mathematical Physics or a closely related field, or 7+ years of equivalent demonstrated research experience on the specified research areas below.
- Expertise in Functional Analysis and Operator Theory: Deep, demonstrable knowledge of infinite-dimensional Hilbert spaces, including the spectral theory of self-adjoint operators. Proven experience working with quantum operators and their applications in and outside mathematical physics is essential.
- Theoretical Expertise: Deep expertise in one or more of the following areas: Non-Equilibrium Thermodynamics, Statistical Field Theory, Information Theory (e.g., Integrated Information Theory), Quantum Information/Computation, the Physics of Emergence. Solid understanding of Holographic Principle and the mathematics of holographic representations in Hilbert Spaces.
- Advanced Proficiency in Differential Geometry and Topology: Mastery of tensor analysis and its application to the study of high-dimensional manifolds. The candidate must have experience in analyzing the topological and geometric properties ("topography") of manifolds represented in hyper-dimensional spaces.
- Specialization in Geometric Representation Theory: Proven research experience in analyzing the curvature of manifolds, specifically through their matrix representations. This includes familiarity with Lie groups, Lie algebras, and their connections to the geometry of the underlying space.
- Strong Research Record: A consistent record of working on original research focused on mathematical physics, quantum mechanics, advanced thermodynamics, or statistical physics. The portfolio must include significant contributions to one or more of the core specializations listed.
- Computational and Algorithmic Skills: Proficiency in using computational algebra systems and programming languages (such as C, C++, Mathlab, etc.) for symbolic manipulation, numerical simulation, and visualization of complex geometric and algebraic structures.
Key Responsibilities:
- Full Stack Development (LAMP): Design, develop, and maintain robust, scalable server-side web applications using the LAMP stack (C++ being the primary server-side language). Manage and optimize AI datasets supporting high-volume, complex frontier AI engines.
- Modern UI/UX Development: Create intuitive, high-performance front-end interfaces using modern JavaScript frameworks and advanced HTML/CSS. Ensure cross-browser compatibility and responsive design.
- Complex Data Visualization: Develop highly complex, interactive, and custom graphical representations of AI engines outputs, high-dimensional AI data, Atomic Network structures, and real-time visualizations within web applications (e.g., using WebGL, Unity or similar libraries).
- API Development & Support: Design, implement, and maintain secure, efficient RESTful APIs to serve AI data and AI engine interactions between the front-end, research computing infrastructure, and core AI platforms.
- Research Collaboration: Work directly with AHvos Research Scientists to quickly prototype tools, translate research requirements into functional specifications, and iterate on software solutions.
- Immersive Interface Development: Develop Virtual Reality (VR) and Mixed Reality (MR) interfaces/plugins (e.g., using WebXR, Unity, or similar technologies) to provide novel ways for researchers and business partners to visualize, manipulate, and interact with complex AI engines and AI data structures.
- Communications Leadership: Communicate complex software ideas clearly and effectively to non-developers and collaborate productively with experts from diverse scientific backgrounds across AHvos' team.
About the Role:
- We are seeking an experienced and innovative Full Stack Developer to create novel software solutions supporting our Frontier Artificial Intelligence research. This role focuses on developing highly sophisticated, data-intensive web applications and interfaces using a LAMP-based architecture, coupled with modern front-end technologies.
The ideal candidate will have extensive experience bridging the gap between cutting-edge scientific research and robust, scalable software development, particularly in creating advanced data visualizations and immersive interfaces for complex AI models. You will be a crucial interface between abstract research concepts and functional, accessible tools for our interdisciplinary research teams and business partners.
If you are a versatile developer eager to apply your technical skills to aiding on frontier of Artificial Intelligence research, building tools that accelerate scientific discovery and novel applications that showcase AI at its best, we encourage you to apply.
Qualifications:
- Education: Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a closely related quantitative field, with a strong background in both computer algorithms and software engineering principles.
- Experience: 5+ years of professional experience as a Full Stack Developer, with extensive hands-on experience specifically in a LAMP-based architecture developing scientific applications supporting a researcher organization.
- Server-Side Expertise: Expert proficiency in C++ server side code development and advanced experience with server configuration, caching strategies, security protocols, and performance tuning within a Linux/Apache environment.
- AI Datasets Management: Deep knowledge of AI datasets management techniques (or equivalent large scientific datasets), including dataset backups and health maintenance, indexing, and data pipelines design supporting machine education for large, confidential and/or sensitive scientific AI datasets.
- Front-End Mastery: Strong proficiency in modern JavaScript, HTML5, and CSS3. Demonstrated experience creating sophisticated, custom data visualizations (not just standard chart libraries) for complex scientific or technical data.
- API Proficiency: Proven track record of designing, documenting, and implementing stable, high-performance RESTful APIs.
- Research Environment Experience: Prior experience working effectively in a research, academic, or high-tech R&D organization, collaborating directly with scientists or engineers.
Preferred Qualifications:
- Experience with advanced visualization toolkits.
- Prior development experience with WebXR, Unity, or other platforms for VR/MR interface creation.
- Understanding of machine learning concepts, data pipelines, and distributed computing frameworks.
