Dalhousie University Halifax, Nova Scotia

The Faculty of Computer Science at Dalhousie University invites applications for a NSERC Tier 1 Canada Research Chair (CRC) in Ocean Data Analytics. This position is designated to candidates who self-identify as a woman or member of another gender equity seeking group. The Tier 1 CRC in Ocean Data Analytics will be a tenure-track or tenured position at the rank of Associate or Full Professor (commensurate with experience) with an anticipated start date of July 1, 2025. The ideal candidate will lead groundbreaking research in Ocean Data Analytics, leveraging their fundamental expertise in artificial intelligence to address global challenges through the innovative use of ocean data. However, candidates with expertise in AI and interest in broader scopes of ocean data (e.g., fisheries, coastal-community impacts, or AI and climate technology) are also highly encouraged to apply. Most importantly, the research focus of the new CRC must be centered on two of Dalhousie’s Strategic Research Clusters: AI and Digital Innovation and Sustainable Ocean.

The successful candidate will hold a PhD in computer science or a related field, have a demonstrated capacity to lead an AI research program, and supervise graduate students in computer science. They will propose an innovative and original research program in Ocean Data Analytics, with potential applications to ocean industries and economic development, such as offshore wind, tidal energy, aquaculture, shipping, transportation, and tourism. The Chair is expected to develop a pioneering research agenda in collaboration with the Transforming Climate Action program, DeepSense as well as with industry and government initiatives. Specifically, the successful CRC will build and sustain collaborative partnerships with post-secondary institutions, provincial and federal governments, and key community partners in the oceans sector. The ideal candidate must have a proven ability to secure significant research funding and disseminate findings in impactful ways suitable to the discipline. They will engage in research leadership and promotion of interdisciplinary scholarship to create new opportunities and drive strategic directions at the intersection of artificial intelligence and ocean data analytics. Additionally, the successful candidate will contribute to complementary research areas within the Faculty and University while teaching at a reduced course load.

Applications should be made by submission of a cover letter, a detailed curriculum vitae, a three-page summary of the candidate’s research program, a one-page statement of teaching interests and philosophy, and the names and contact details of three referees. All applications are to be made through the following link: https://dal.peopleadmin.ca/postings/17974.

New York, NY

We are looking for an engineer with experience in low-level systems programming and optimization to join our growing ML team.

Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction.

Your part here is optimizing the performance of our models – both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level – is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?

If you’ve never thought about a career in finance, you’re in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you’ll fit right in.

There’s no fixed set of skills, but here are some of the things we’re looking for:

• An understanding of modern ML techniques and toolsets
• The experience and systems knowledge required to debug a training run’s performance end to end
• Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy
• Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute
• Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
• Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads
• Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters
• An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
• An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools

Chicago, New York, Amsterdam, London, Hong Kong, and Sydney

As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You’ll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.

This is a unique opportunity to solve problems at the intersection of advanced machine learning and high-frequency trading, where your contributions will shape the future of IMC’s technology and trading capabilities.

Your Core Responsibilities:

• Develop large-scale distributed training pipelines to manage datasets and complex models
• Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
• Develop libraries to improve the performance of machine learning frameworks
• Maximize performance in training and inference using GPU hardware and acceleration libraries
• Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
• Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
• Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
• Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
• Dig into the internals of open-source ML tools to extend their capabilities and improve performance

Your Skills and Experience:

• 5+ years of experience in machine learning with a focus on training and inference systems
• Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
• Strong engineering skills, including Python, CUDA, or C++
• Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
• Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
• Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
• Experience with cloud platforms and orchestration tools
• Track record of contributing to open-source projects in machine learning, data science, or distributed systems a plus

About Us

IMC is a leading trading firm, known worldwide for our advanced, low-latency technology and world-class execution capabilities. Over the past 30 years, we’ve been a stabilizing force in the financial markets – providing the essential liquidity our counterparties depend on. Across offices in the US, Europe, and Asia Pacific, our talented employees are united by our entrepreneurial spirit, exceptional culture, and commitment to giving back. It's a strong foundation that allows us to grow and add new capabilities, year after year. From entering dynamic new markets, to developing a state-of-the-art research environment and diversifying our trading strategies, we dare to imagine what could be and work together to make it happen.

Hiring Globally - Miami, New York, London, Hong Kong, Singapore and Sydney

Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
Implement algorithms in high-quality code
Work with large data sets, including unconventional and unstructured data sources
Back-test models and document research findings

By applying you will be considered for Citadel and Citadel Securities.

Citadel is one of the world’s leading alternative investment managers. We manage capital on behalf of many of the world’s preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact. For more information, visit Citadel.com.

Citadel Securities is a leading global market maker that provides institutional and retail investors with the liquidity they need to execute transactions in all market conditions across a broad array of equity and fixed income products. At Citadel Securities, the brightest minds in finance, science and technology use next-generation analytics to solve the market’s most critical challenges, turn big ideas into real-world outcomes and accelerate their careers. For more information, visit CitadelSecurities.com.

San Francisco

About This Role

Crusoe Cloud is hiring a talented Cloud Infrastructure Product Manager to join the team building our foundational IaaS offerings and accelerate the development of our carbon-reducing, AI focused cloud platform. Our customers include rapidly growing AI companies and enterprise AI teams who use our high performance GPU compute products with VPC and cluster networking technology. We’re now adding broad new compute and virtualization capabilities to meet the needs of our growing customer base.

As a compute and virtualization specialist on our Cloud Infrastructure Product team you will own the roadmap, definition and execution for compute products and contribute to the long term strategy of the product. This includes writing technical product requirement specifications, creating customer or executive facing presentations, and driving key product tradeoff decisions. You will work closely with many other Crusoe teams and PMs, including PMs who are focused on the user-facing software layer of our cloud.

Palo Alto, CA

About Salesforce: We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.

Salesforce AI Research advances AI techniques that pave the path for new AI research directions, innovative products and applications with a positive impact on society. Our team of researchers, engineers, product managers, and designers drive AI innovation across pure research, applied research, and new product incubation— all built on our powerful AI platform. We bring companies and customers together using AI that is explainable, transparent, and accountable.

As part of our team you’ll learn unique skills, work with talented people, influence the industry standard for fair and ethical use of artificial intelligence and help us to shape the future of AI.

Check out our website to learn more about the groundbreaking work of the Salesforce AI Research team https://www.salesforceairesearch.com

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more fields: -Natural Language Processing -Computer Vision -Reinforcement Learning -General Machine Learning

Our research focus includes but is not limited to the following: -AI Agents -AI for Software Developers -AI for Operations / Time Series -Responsible & Trusted AI -AI for Knowledge Management -Mobile AI -Multimodal AI -Large Language/Action Modeling -Human-AI Interaction -Automatic Evaluation -Candidates that have published in top-tier conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, CHI) are preferred.

As a research intern, you will: -Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference -Learn about exciting research and applications outside your expertise -Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community -Attend conferences with our researchers to showcase your accepted papers

Requirements: -PhD/MS candidate in a relevant research area -Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods -Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer -Strong background in machine learning, natural language processing, computer vision, or reinforcement learning -Strong algorithmic problem solving skills -Programming experience in Python, Java, C/C++, Lua, or a similar language

This internship is a minimum of 12 weeks.

Accommodations: If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.

Posting Statement: At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce welcomes all.

Chicago OR London OR Miami OR New York OR Old Greenwich OR San Francisco OR West Palm Beach

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

The Role: WorldQuant offers an exciting opportunity for a Quantitative Strategist to join the Artificial Intelligence team. Reporting directly to the firm’s Head of AI, the individual will be part of a dynamic group of researchers on the cutting edge of quantitative finance. Together they enable the firm to implement cutting-edge AI at each layer of the investment process — from data to models to strategies and execution. The team has created a platform for the end-to-end optimization of all the modules used in trading — leading to a simplified, highly effective trading system.

On the AI team at WorldQuant, you will make a cross-functional impact and have the opportunity to:

• Build AI/ML/reinforcement learning/optimization models for investment selection, optimization, execution, and more
• Implement AI solutions throughout the firm via collaboration with portfolio management, risk, and other research teams
• Access the firm’s state-of-the-art data and hardware systems
• Develop the foundational software used for AI at WorldQuant

What You’ll Bring:

• At least 2 years of experience training AI, ML, reinforcement learning, and related models -- in the technology, academia, or quantitative trading domains
• Hands-on experience building, testing and maintaining complex software systems
• Willingness to explain and defend employed models, their interpretation and business value to the team and stakeholders
• Experience developing AI/ML algorithms and infrastructure
• Excellent knowledge of Python, NumPy and Pandas
• Experience with at least one of: XGBoost, LightGBM, CatBoost, Tensorflow, PyTorch, MOSEK, CVXPY
• Graduate-level research experience in Artificial Intelligence or related field, including work published and/or accepted to major a conference is a plus
• C++ knowledge is a plus

Hiring Globally - Miami, New York, London, Hong Kong, Singapore and Sydney

Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world.

Your Objectives Use statistics, machine learning or AI (e.g. deep learning, NLP) to extract patterns from various kinds of datasets through innovative and rigorous research
Implement algorithms in high-quality code
Work with large data sets, including unconventional and unstructured data sources
Back-test models and document research findings

Your Skills & Talents PhD degree in mathematics, statistics, physics, computer science, or another highly quantitative field Strong knowledge of probability and statistics (e.g., machine learning, time-series analysis, pattern recognition, NLP) Prior experience working in a data driven research environment Experience with translating mathematical models and algorithms into code (Python, R or C++) Independent research experience Ability to manage multiple tasks and thrive in a fast-paced team environment Excellent analytical skills, with strong attention to detail

By applying you will be considered for Citadel and Citadel Securities.

Citadel is one of the world’s leading alternative investment managers. We manage capital on behalf of many of the world’s preeminent private, public and nonprofit institutions. We seek the highest and best use of investor capital in order to deliver market leading results and contribute to broader economic growth. For over 30 years, Citadel has cultivated a culture of learning and collaboration among some of the most talented and accomplished investment professionals, researchers and engineers in the world. Our colleagues are empowered to test their ideas and develop commercial solutions that accelerate their growth and drive real impact. For more information, visit Citadel.com.

Citadel Securities is a leading global market maker that provides institutional and retail investors with the liquidity they need to execute transactions in all market conditions across a broad array of equity and fixed income products. At Citadel Securities, the brightest minds in finance, science and technology use next-generation analytics to solve the market’s most critical challenges, turn big ideas into real-world outcomes and accelerate their careers. For more information, visit CitadelSecurities.com.

About the role: We're currently looking for research scientists with specialized skills in Autonomous Driving Behavior, including, but not limited to, prediction and planning, generative approaches to trajectory forecasting, and addressing generative model issues. You will play a vital role in developing ML models that accurately predict the behavior of surrounding agents and plan and select optimal trajectories for our AVs. In this pivotal role, you'll be instrumental in designing and refining the ML algorithms that enable our trucks to safely navigate and operate in complex, dynamic environments. You will collaborate with a team of experts in AI, robotics, and software engineering to push the boundaries of what's possible in autonomous trucking. This role is based in our Mountain View, CA office.

What you'll do: Develop novel algorithms in agent behavior prediction and AV planning in interactive scenes Conduct research on combined prediction and planning models  Work on marginal, conditional, and joint prediction  Develop robust prediction and planning metrics for assessing the behavior systems Push forward the cutting-edge generative AI methods for use in the Autonomy Stack Test ML models in simulation to ensure robust performance and generalization Analyze model performance and identify areas for improvement, iterating on design and implementation to enhance quality and reliability Participate in the AI Research team activities targeting internal education and external scientific image Work closely with the Production teams to push your idea into the deployment Propose new ideas and build on top of state-of-the-art knowledge

What we're looking for: You have a Ph.D. in one or more of the following areas: Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field You have at least 1-3 years of hands-on experience in one or more of the following areas: Autonomous Driving (preferable), Robotics, or Deep Learning in general  You have at least 1-3 years of research experience in one or more of the following areas: Generative Modeling (preferable), Behavior Prediction and/or Planning, Statistics, Probability theory Deep knowledge of Autonomous Driving Behavior includingVarious formats of maps (rasterized, vectorized) Diffusion modeling: different forms of guidance, sampling optimization, probability estimation Transformer Decoding Flow-based, VAE, and RNN-based generative approaches  Prediction vs Planning Marginal vs Conditional vs Joint Open vs Closed loop Imitation Learning approaches Experience with simulation environments for autonomous vehicles, such as CARLA, Waymax, or similar platforms Strong foundation in data structures, algorithm design, and complexity analysis Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like TensorFlow/PyTorch  Demonstrated ability to publish research findings in any of the top-tier technical journals and conferences (ICRA, CoRL, IROS, ICLR, ICML, NeurIPS, AAAI, IJCAI, CVPR, ICCV, ECCV, etc.) You are passionate about Autonomous Driving!

**📐 About this role **

We're primarily hiring for our engineering team near one of our office hubs (San Francisco, New York, London) and are open to hiring remotely within North America and the United Kingdom. Please apply to the location that best aligns with your preferred work environment.

Writer is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts.

At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language models available in the industry and revolutionize how companies interact with AI. We're looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI.

As an AI Engineer at Writer, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products.

If you’re passionate about using AI to transform the enterprise, then we want to hear from you.

**🦸🏻‍♀️ Your responsibilities **

• Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities
• Evaluate the performance of AI models & systems through rigorous testing and experimentation.
• Deploy LLM-based applications in production, evaluating and improving their performance over time
• Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.
• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.
• Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems
• Implement strong testing and CI/CD practices that help us move with confidence in our AI system development

**⭐️ Is this you? **

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• High level of coding proficiency using Python
• 5+ years of professional experience in software engineering, AI/ML development including:
• Proficiency with production software (Python) and systems design
• Machine learning algorithms and model development techniques
• ML lifecycle tools like MLflow, dvc, weights & biases
• Cloud deployment of ML systems
• Professional experience with LLMs and large-scale models
• Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems
• Strong analytical and problem-solving skills
• Ability to communicate complex ideas and concepts effectively
• Ability to work independently and collaboratively

Preferred Skills:

• Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc
• Depth of knowledge with RAG implementation and improvements

Seattle, WA

Are you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.

As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.

This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.

Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated..

Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.

Amazon has positions available for LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.

Key job responsibilities We are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.

In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.

A day in the life - Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI. - Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible. - Explore the vast potential of generative AI and its applications across industries. - Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries. - Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation. - Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learning

Sofia, Bulgaria

The Institute for Computer Science, Artificial Intelligence and Technology (INSAIT), created in partnership with Switzerland’s ETH Zurich and EPFL, is seeking candidates for faculty positions starting immediately or on a mutually agreed date thereafter.

Founded in 2022, INSAIT’s mission is to become a world-class computer science and artificial intelligence research institution. In just two years, INSAIT has already attracted outstanding international faculty, postdocs, and PhD students. The institute has also published at most major AI-related conferences including CVPR, NeurIPS, EMNLP, ICCV, ECCV, ICML, ICLR, IROS, AISTATS, as well as in areas like programming languages, algorithms, and theory. INSAIT is structured similarly to top U.S. and European research institutions and provides exceptional working conditions, in terms of facilities, computational resources, competitive packages, and salaries. We welcome excellent faculty applicants in all areas of computer science and artificial intelligence, both tenure-track faculty and tenured researchers. Faculty duties include graduate student supervision and teaching graduate-level courses.

Eligibility requirements:

• A PhD degree in computer science or closely related fields by the start of the position
• Demonstrated ability to pursue a strong and independent research program
• Application materials:
• A curriculum vitae (CV)
• A research statement (up to 5 pages)
• A teaching statement (up to 2 pages)
• The names and email addresses of three or more referees. The referees should be professionally established researchers who know the candidate well, both academically and personally. It is the candidate’s responsibility to arrange for reference letters to be sent to contact@insait.ai.

Application deadline: Applications received by January 30th, 2025, will be assured full consideration; however, we will continue accepting applications until the positions are filled.

When ready to apply, go to https://insait.ai/faculty/

Explore other open positions at INSAIT:

• Open postdoctoral positions
• Open doctoral positions

INSAIT is a strong proponent of equal opportunities, diversity, and inclusion, and as such, we strive to offer equal opportunities and access to all candidates regardless of their race, colour, ethnic or social origin, genetic features, language, religion or belief, political or any other opinion, minority membership, disability, age, gender identity, or any other protected characteristic. We strongly welcome applications from all under-represented groups in the field.