Research Internship – AI for Scientific Reasoning

About Axiomatic AI Axiomatic AI builds AI systems that bring the rigor of the scientific method to reasoning. By combining deep learning, formal logic, and physics-based modeling, the team develops interpretable and verifiable AI tools designed to support human researchers in scientific and engineering tasks. The company's 30×30 mission targets a 30-fold inc…

About Axiomatic AI Axiomatic AI develops AI systems that combine deep learning, formal logic, and physics-based modeling. The goal: create verifiable, interpretable AI that supports human researchers in scientific and engineering fields. The company’s 30×30 mission targets a 30-fold increase in the speed, accessibility, and affordability of semiconductor and photonic hardware development by 2030. With teams in Boston, Toronto, and Castelldefels (Barcelona), Axiomatic AI is working to transform hardware design and simulation, moving ideas from research to commercial products. Research Internship Overview This internship centers on formal methods, artificial intelligence, and scientific reasoning. It’s especially suited for PhD candidates interested in advancing AI’s role in science and engineering, and in building tools to validate scientific results. The work focuses on automated verification of scientific reasoning, contributing to the design of AI agents that handle complex mathematical formalization, knowledge retrieval, and both formal and informal verification methods. What You Will Do Develop tools for formal reasoning, such as improved library search, theorem retrieval, and formalization assistants. Explore Lean metaprogramming or similar formal methods tools for research applications. Design verification pipelines for complex equation derivations, helping connect AI systems with physics. Work closely with researchers to define a focused project that advances Axiomatic AI’s capabilities and contributes to scientific understanding. Carry out research with the potential for publication at venues like ICLR, ICML, or NeurIPS, or contribute to major open-source projects. Locations Boston, US Toronto, Canada Castelldefels (Barcelona), Spain

About Axiomatic AI Axiomatic AI develops AI systems that combine deep learning, formal logic, and physics-based modeling. The goal: create AI that is verifiable, interpretable, and genuinely useful for scientific and engineering work. The company’s 30×30 mission targets a 30-fold improvement in the speed, accessibility, and cost of semiconductor and photonic hardware development by 2030. Teams at Axiomatic AI focus on transforming hardware design and simulation, aiming to turn research breakthroughs into commercial products. Offices are located in Boston, Toronto, and Castelldefels (Barcelona). Research Internship: Role Overview This internship focuses on exploratory research within agentic learning, memory, and neurosymbolic reasoning. The position is part of KAMAS (Knowledge, Agents, Memory and Systems), a team working on knowledge-driven, verifiable agentic AI systems. The main objectives: identify promising research directions and produce impactful results, with the possibility of publication. Research topics may include: Studying teacher and student interaction in long-term learning, where the student evolves through ongoing engagement with a teacher. Investigating how external and parametric memory interact, especially ways to enable effective two-way information flow. Applying neurosymbolic techniques for validation and verification (V&V) in agentic reasoning systems. These areas are starting points; additional research directions may develop based on intern background, interests, and project needs. What You Will Do Conduct exploratory research in line with KAMAS objectives in agentic AI and learning systems. Design, implement, and run experiments to evaluate research ideas. Document findings for internal use and presentations, with the potential for external publication.

About Us: Axiomatic AI is pioneering a new generation of AI systems that embody the principles of the scientific method. By merging deep learning with formal logic and physics-based modeling, we are creating verifiable and interpretable AI systems that enhance and support human researchers in critical scientific and engineering tasks. Our ambitious mission, 30×30, aims to achieve a 30-fold improvement in the speed, accessibility, and cost-effectiveness of semiconductor and photonic hardware development by the year 2030. We are set to transform hardware design and simulation across these sectors, assembling a team of passionate professionals dedicated to translating innovative research into commercial products. Position Overview: As a Research Software Engineer with a focus on scientific computing systems, you will be responsible for constructing and scaling the computational foundation of our scientific tools. This includes accelerating simulation and optimization workloads, facilitating robust distributed execution, and ensuring correctness and reproducibility across numerical pipelines. You will collaborate closely with a diverse team comprising AI Engineers, Software Engineers, Mathematicians, and Physicists to develop tools that revolutionize how engineers and scientists leverage AI in their daily operations. Your Mission: Scalable Scientific Computing: Develop high-performance, reliable systems for simulation, inference, optimization, and uncertainty quantification workflows, particularly in the realms of electromagnetic simulation and inverse design. Performance Optimization: Analyze and enhance performance throughout end-to-end pipelines (CPU/GPU). Distributed Execution & HPC: Design and sustain distributed computing infrastructure for extensive sweeps and multiple experimental runs (multi-GPU/multi-node), emphasizing reproducibility, observability, and developer usability. Verification & QA: Establish rigorous testing and verification protocols for scientific computing pipelines (numerical regression, invariants, convergence tests, golden datasets), ensuring reliable results over time.

About Axiomatic AI Axiomatic AI builds AI systems grounded in the scientific method. By combining deep learning, formal logic, and physics-based modeling, the team creates verifiable and interpretable tools that support researchers in scientific and engineering fields. The company’s 30×30 mission targets a 30-fold improvement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by 2030. With a focus on transforming hardware design and simulation, Axiomatic AI brings together professionals who move research from the lab into real-world solutions. Research Internship: Uncertainty Quantification & Robust Design Locations: Boston, US / Toronto, Canada / Castelldefels (Barcelona), Spain Role Overview This internship centers on exploratory research in uncertainty quantification (UQ), experimental design, robust design strategies, and surrogate modeling. The specific project will reflect the intern’s background and strengths, always with the goal of advancing the methods that underpin scientific and engineering work. Candidates with a strong technical grounding in probabilistic machine learning, Bayesian computation, and applied mathematical modeling will find this role especially relevant. Depending on interests and expertise, there may also be a chance to work in specialized topics such as neuromorphic computing in photonics. Key Responsibilities Advance and extend uncertainty quantification methods through research Contribute to developing experimental and robust design techniques for scientific and engineering applications Develop or evaluate surrogate modeling strategies for complex systems Work with researchers to shape focused projects that deliver clear research and learning outcomes

FieldAI is at the forefront of revolutionizing robot interactions with the real world. Our dynamic R&D team, based in Boston, is committed to developing risk-aware, reliable, and field-ready AI systems that address the most challenging problems in robotics and unleash the potential of embodied intelligence. We adopt a pragmatic methodology that transcends traditional off-the-shelf and purely data-driven approaches, integrating cutting-edge research with practical deployment. Our solutions have been successfully implemented globally, and we continuously enhance model performance through rapid iterations informed by real-world applications.We are looking for a seasoned Senior Engineering Manager to lead an agile, high-performing team of research scientists and engineers at the cutting edge of robotics AI. In this pivotal role, you will craft and implement research strategies, oversee the creation of advanced AI algorithms, and steer initiatives from initial research to real-world deployment on physical robotic systems. You will harmonize deep technical leadership with effective people management, ensuring scientific excellence and tangible impact on the field.This is your chance to influence the future of robotic autonomy by transforming groundbreaking research into systems that function reliably in complex, dynamic environments on actual robots.

Harvard University invites applications for the position of Research Assistant III in our laboratory. This role is critical in supporting advanced research initiatives and offers a unique opportunity to work alongside leading scientists in a dynamic and collaborative environment. The successful candidate will engage in a variety of laboratory tasks, including but not limited to data collection, analysis, and contributing to the preparation of reports and publications.

Company OverviewAt 1910genetics, we are revolutionizing biotech through our AI-native approach, leading the charge in small and large molecule therapeutic discovery. Our innovative infrastructure leverages vast multimodal data, cutting-edge AI models, and high-throughput lab automation to redefine drug discovery.We pride ourselves on attracting the top 1% of talent to our dynamic team, which includes scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in creating the world’s first AI-driven infrastructure for tech-enabled drug discovery, aimed at delivering a diverse pipeline of drug modalities across all major disease areas.In the role of AI Research Scientist III at 1910genetics, you will be an essential Individual Contributor (IC), engaging with contemporary scientific literature, developing innovative prototypes, and actively participating in our drug design initiatives utilizing 1910’s production-grade AI/ML models.

The Harvard Business School AI Institute is seeking an innovative and results-driven Research Manager to oversee and lead cutting-edge research initiatives in artificial intelligence. This role is pivotal in advancing our understanding and application of AI in business contexts. You will collaborate with a team of researchers, faculty, and industry experts to drive impactful projects that shape the future of AI in business.

Axiomatic AI is seeking interns for a software engineering program centered on AI and agentic systems. This internship gives participants a chance to work on projects aimed at solving real-world challenges, guided by experienced professionals in the field. Role overview Interns will join teams focused on the design, development, and implementation of AI-driven solutions. The work involves hands-on experience with agentic systems and exposure to current technologies in artificial intelligence. What you will do Contribute to the creation and deployment of AI-based solutions Work closely with team members and industry experts to address technical problems Build practical skills in agentic systems and related tools Locations Boston, US Castelldefels (Barcelona), Spain

FieldAI is revolutionizing the way robots engage with the physical world. Our innovative research and development team, situated in Boston, is dedicated to creating risk-aware, dependable, and field-ready AI systems that confront the most challenging issues in robotics, thereby harnessing the full potential of embodied intelligence. We adopt a practical methodology that transcends conventional, purely data-driven strategies or transformer-based frameworks, seamlessly integrating pioneering research with tangible deployment. Our solutions are actively utilized across the globe, and we are committed to consistently enhancing model performance through swift iterations driven by real-world applications.This Summer 2026 internship opportunity is tailored for PhD students keen on advancing humanoid manipulation and embodied intelligence in genuine robotic systems. As a research intern, you will operate at the convergence of robotics research and applied engineering, contributing to the development of manipulation systems for humanoid robots that underpin FieldAI’s initiatives in autonomy and robot learning.You will engage closely with FieldAI's research scientists and engineers to design experiments, develop manipulation systems, and test innovative ideas on actual hardware. This internship prioritizes the conversion of research into practical, scalable systems while also contributing to long-term projects focused on embodiment-agnostic robotics foundation models.

About Us: Axiomatic AI is pioneering a new generation of AI systems that apply the scientific method rigorously. By integrating deep learning with formal logic and physics-based modeling, we develop verifiable and interpretable AI systems that enhance and assist human researchers within critical scientific and engineering processes. Our Mission, 30×30: We are committed to achieving a 30× enhancement in the speed, accessibility, and affordability of semiconductor and photonic hardware development by the year 2030. We envision transforming hardware design and simulation across these sectors and are assembling a team of passionate professionals to translate these advancements from research into commercial products. Position Overview: As an AI Research Scientist specializing in photonic and neuromorphic computing, you will be instrumental in crafting AI algorithms and architectures, as well as simulation and optimization frameworks tailored for innovative, non-traditional computing platforms. You will help develop algorithms, digital twins, and training methods that connect AI, physics, and hardware-aware system design within Axiomatic's next-generation computational science tools. This position is part of Axiomatic's long-term research and product strategy, involving collaboration across various projects and initiatives, and working closely with AI researchers, physicists, and software engineers to translate cutting-edge concepts into scalable, impactful solutions. Your Mission: Simulation and Digital Twins: Create simulation and digital-twin tools that effectively model physical effects such as nonlinearities, noise, and precision limits, facilitating hardware-aware algorithm development. Co-Design and Collaboration: Collaborate with internal AI, software, and hardware teams to ensure cohesive alignment between algorithms, system constraints, and overarching platform objectives, including the automation of scientific workflows. Algorithm and System Design: Architect and prototype machine-learning frameworks and physics-aware optimization workflows for neuromorphic systems, examining efficient mappings of AI models onto emerging hardware substrates. Research, Benchmarking, and Reporting: Assess system-level performance trade-offs, conduct benchmarking studies, document findings, and contribute to technical decision-making across Axiomatic’s R&D portfolio.

Company OverviewAt 1910genetics, we are revolutionizing the biotech industry as the sole AI-native company dedicated to the discovery of small and large molecule therapeutics. Our innovative approach combines vast multimodal data, cutting-edge AI models, and advanced lab automation to create a robust infrastructure for AI-driven drug discovery.We are committed to hiring the top 1% of talent to join our diverse team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in building the world’s first AI infrastructure for tech-enabled drug discovery and in delivering a pipeline of diverse drug modalities targeting all major disease areas.As an AI Research Scientist I at 1910genetics, you will actively contribute as an Individual Contributor (IC) by keeping abreast of the latest scientific literature, prototyping innovative methodologies, and supporting our ongoing drug design initiatives through the application of 1910’s production-ready AI/ML models.

About SimpliSafe SimpliSafe stands at the forefront of innovation in the home security sector, committed to ensuring that every household feels secure. Our mission is to deliver accessible and comprehensive security solutions through user-centric designs that empower individuals and families to protect their most valued assets. We foster a collaborative and dynamic work environment where continuous learning and professional growth are paramount. Our teams consist of passionate and talented individuals dedicated to technology, security, and providing outstanding customer experiences. Embracing a hybrid work model, we encourage our teams to balance their time between office collaboration and remote work. Typically, our teams gather in our state-of-the-art office on core days—usually Tuesday, Wednesday, or Thursday—allowing for personal workspace flexibility while maximizing in-person collaboration. Why Join Us? As we expand and excel, we are on the lookout for intelligent, talented, and humble individuals who align with our values, eager to innovate in the home security landscape and relentlessly pursue our mission of securing Every Home. About the Role We are in search of a driven and highly skilled Computer Vision Applied Research Engineer to become a pivotal member of our expanding Edge AI team. In this influential role, you will spearhead the development of on-device machine learning solutions for outdoor monitoring in the home security domain. Your expertise will involve building and optimizing computer vision models that operate in real-time on resource-constrained embedded devices such as outdoor and doorbell cameras, striking the right balance between accuracy, latency, memory usage, power efficiency, and reliability under challenging conditions (including low light, adverse weather, and motion blur). Key Responsibilities: Lead the comprehensive development of edge ML models for outdoor monitoring applications (e.g., detecting and classifying persons, vehicles, and packages; tracking; segmentation; and event understanding). Design, train, and deploy transformer-based vision models (e.g., compact ViTs, hierarchical transformers, DETR-style detectors) and hybrid CNN-transformer architectures optimized for embedded inference. Enhance model efficiency through resource-aware design and training approaches, including: Architecture: Token/patch reduction, efficient attention variants, early-exit/conditional compute. Training: Distillation from large transformer models to edge implementations. Compression: Techniques such as Quantization (PTQ/QAT), pruning, mixed precision, and operator-aware optimization. Collaborate closely with cross-functional teams to integrate models into our products and ensure they meet quality and performance standards.

Join Harvard University as a Scientific Platform Engineer, where you will play a crucial role in the development and maintenance of advanced scientific computing platforms. This position offers an exciting opportunity to collaborate with leading researchers and contribute to groundbreaking projects. You will be responsible for designing, implementing, and optimizing software solutions that support scientific research initiatives.

**This is a hybrid role that necessitates regular on-site presence at client locations in and around Boston, MA.****Please note that this position does not offer relocation assistance.**The Delivery Manager (DM) for Scientific Services plays a pivotal role in ensuring that all contractual obligations for Zifo in relation to our client engagements are met. This position embodies the 'one hand to shake' principle, serving as the primary point of contact for clients and internal stakeholders alike. The DM will leverage strategic and technical leadership, alongside consulting and project management expertise, to assess customer needs and opportunities, ensuring that Zifo delivers solutions that align with customer objectives and aspirations.

Company OverviewAt 1910genetics, we are at the forefront of biotechnology, uniquely leveraging artificial intelligence to revolutionize the discovery of small and large molecule therapeutics. Our innovative approach integrates extensive multimodal data, cutting-edge AI models, and advanced lab automation, creating an unparalleled infrastructure for AI-driven drug discovery.We pride ourselves on attracting the top 1% of talent to join our dynamic and interdisciplinary team comprised of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.Join us in our mission to establish the world’s first AI infrastructure for technology-enabled drug discovery and to develop a robust pipeline of diverse drug modalities targeting all major disease areas.As an AI Research Scientist II at 1910genetics, you will take an active role as an Individual Contributor (IC), engaging with current scientific literature, prototyping innovative methodologies, and contributing to our ongoing drug design initiatives by applying our productionized AI/ML models.

Research Scientist in PhysicsAbout UsPhysical Superintelligence is a pioneering startup with prestigious roots at Harvard, MIT, Johns Hopkins, Oxford, the Institute for Advanced Study, and the Perimeter Institute. We are on a mission to build AI systems that uncover new physics breakthroughs at scale. We invite talented physicists to join our team in crafting evaluation frameworks and verification systems that facilitate AI-driven discoveries in physics.Key ResponsibilitiesTransform cutting-edge physics challenges into machine-verifiable tasks that AI systems can systematically navigate. This role entails writing production-level code, collaborating with AI researchers and engineers, and delivering operational systems that foster large-scale physics discovery.- Design evaluation frameworks across diverse physics domains, including atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, and statistical mechanics.- Create verification harnesses that encode principles of physical validity, conservation laws, and experimental integrity to differentiate authentic physics insights from numerical artifacts.- Integrate advanced physics simulations into AI environments and establish benchmarks that assess genuine physics reasoning.- Collaborate with AI researchers to refine agent architecture and training methodologies, while developing production code that underpins extensive discovery workflows.QualificationsWe are looking for candidates with a PhD in Physics or a related discipline, possessing in-depth knowledge in at least one significant area of physics and proficient programming skills. Ideal candidates should demonstrate a history of addressing complex, unresolved problems and excel in dynamic research settings.Areas of Expertise:- Profound knowledge in atomic, molecular, and optical physics, condensed matter physics, plasma physics, fluid dynamics, astrophysics, quantum information, high-energy theory, biophysics, soft matter, statistical mechanics, or equivalent physics disciplines.- Solid understanding of physical validity, conservation laws, and experimental limitations.Programming and Computational Skills:- Proficient in Python and C++, with experience in computational physics simulations and high-performance computing.- Hands-on experience with simulation tools such as VASP, Quantum ESPRESSO, LAMMPS, GROMACS, OpenFOAM, COMSOL, or similar platforms.

Physical Superintelligence FellowshipJoin the Physical Superintelligence PBC (PSI) as we strive to create cutting-edge AI systems that revolutionize physics discovery. Originating from prestigious institutions such as Harvard, MIT, Johns Hopkins, Oxford, the Institute for Advanced Study, and the Perimeter Institute, we are assembling an outstanding team of physicists, AI researchers, and engineers.At PSI, we are committed to transforming scientific discovery through AI, recognizing the unique challenges physics presents that require profound domain expertise to address effectively. We are dedicated to developing innovative systems to tackle these challenges.Fellowship OverviewThe PSI Fellowship offers an exceptional opportunity for physicists eager to engage at the forefront of AI-driven scientific discovery. We are looking for talented researchers who can integrate rigorous physics thinking with modern AI technologies, possessing both deep domain expertise and practical experience in AI system development.Fellows will collaborate closely with PSI’s founding team on pivotal research challenges, aiming to make significant contributions to our technical roadmap and, where suitable, contribute to publishable research.Program Duration: 3–6 months, full-time, based on project scope and mutual compatibility.What to ExpectCollaborate directly with PSI leadership and technical advisors on impactful research projects.Flexibility to engage in projects that align with your expertise, ranging from benchmark development to agent architectures to physics evaluation frameworks.Access to advanced computational resources and tools for AI-physics research.Potential pathway to full-time employment for outstanding performers (though not guaranteed).Research AreasFellows will have the opportunity to work on diverse projects, including:AI-for-Physics Benchmarks: Crafting robust evaluations to determine if AI systems can genuinely reason about physics as opposed to merely pattern-matching solutions.Physics Discovery Agents: Designing and assessing agentic systems capable of formulating hypotheses, planning experiments, and interpreting results.Verification & Interpretability: Developing frameworks to confirm the validity of AI-generated physics insights and to comprehend how models represent physical knowledge.Post-Training for Scientific Reasoning: Enhancing foundational models’ reasoning capabilities about physics through techniques such as Reinforcement Learning from Human Feedback (RLHF).

Role OverviewKey Responsibilities: In this dynamic role, you will undertake a diverse range of administrative, coordination, and scientific tasks associated with client projects, while also contributing to various company and team initiatives.Compensation: The position offers a starting salary of $58,000 annually, which increases to $60,000 for candidates holding a master’s degree. Please note that this salary is fixed and non-negotiable.Employee Benefits: Enjoy a hybrid working model that allows up to 50% remote work, generous holiday leave, flexible working hours, comprehensive private medical and dental insurance, a 401K plan, life insurance, complete funding for external training, extensive travel insurance, and many more benefits.Employment Type: This is a full-time, permanent position.Start Date: We are currently recruiting for positions starting in early 2026.Office Location: This role is based in our Boston office.About the PositionAs a Project Coordinator, you will be an integral part of our scientific teams, engaging in a wide array of administrative, project management, and scientific activities. These teams cover areas such as Medical Communications, Market Access, Evidence Development, and Rare Diseases. During the recruitment process, we will explore your interests in these areas, assigning you to a specific team upon joining. Many Project Coordinators also have the opportunity to work across different teams, enhancing their exposure to various project types and responsibilities.Your role will primarily focus on ensuring the successful delivery of scientific work to our healthcare clients, overseeing the smooth execution of projects and contributing to the overall effectiveness of our operations.