Adjunct Associate Faculty in Blockchain, Cryptocurrencies & Analytics

Columbia University is actively seeking qualified professionals to join our team as part-time Adjunct Associate Faculty for the graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed to impart essential knowledge about blockchain technology and cryptocurrencies to our Master of Science students in Applied Analytics. Topics covered will include cryptographic protocols, hashing, digital signatures, transaction chaining, decentralization through proof of work mining, and smart contracts.The role of an Adjunct Associate Faculty member is pivotal for providing expertise and facilitating the learning process within the course. This position offers an excellent opportunity to gain valuable experience in graduate-level education at Columbia University.

Columbia University's School of Professional Studies (SPS) is seeking qualified candidates for a part-time position as an Adjunct Lecturer to instruct a graduate-level course titled Introduction to Blockchain, Cryptocurrencies & Analytics. This course is designed for students pursuing a Master of Science degree in Applied Analytics and will cover foundational concepts in blockchain technology, cryptocurrency mechanisms, cryptographic protocols, hashing, digital signatures, transaction chaining, mining based on proof of work, and smart contracts.

Columbia University is seeking experienced analytics professionals to join our faculty as part-time Adjunct Associate Faculty for a graduate-level course titled Analytics for Cybersecurity Management. This role offers a unique opportunity to contribute your subject matter expertise and support the instructional process for aspiring cybersecurity leaders. Engaging in this capacity will provide valuable exposure to the academic environment at Columbia University.This course serves as a comprehensive introduction to foundational cybersecurity principles, including network security, threat detection, and vulnerability management. It emphasizes the transformative impact of emerging technologies such as AI and machine learning on modern defense strategies. Participants will engage with key frameworks and advanced tools through real-world case studies, gaining insights into the role of analytics in effective threat intelligence, incident response, and regulatory compliance.Students will enhance their practical skills through hands-on exercises and interactive assignments, culminating in a project focused on automating vulnerability analysis. They will learn critical tasks such as log parsing, vulnerability classification, dashboard visualization, and AI-driven anomaly detection, while also addressing ethical, legal, and regulatory issues in cybersecurity. By the conclusion of the course, participants will be equipped to design proactive defense measures and adeptly navigate diverse threat landscapes, leveraging AI and analytics to bolster digital security against evolving cyber threats.Key ResponsibilitiesAttend all class sessions, assist with instruction, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Monitor student progress and address any concerns or inquiries in a timely manner.

The School of Professional Studies at Columbia University is inviting applications for the role of Adjunct Associate Faculty for a graduate-level course titled Analytics for Business Operations Management, starting in the Fall of 2026. This part-time position offers a unique opportunity to engage in graduate-level teaching while contributing to the academic community at one of the world's leading institutions.This course aims to equip students with analytical techniques to enhance operational decision-making, increase efficiency, and tackle real-world challenges in operations management. Enrolled students will gain hands-on experience in key topics including process analysis, forecasting, queuing theory, simulation, optimization, inventory analysis, project management, supply chain management, and lean operations. By combining lectures with practical coding exercises, the course fosters a comprehensive understanding applicable across various industries.Key Responsibilities:Participate in all class sessions, assist with instruction, and lead breakout discussions.Deliver lectures and facilitate engaging classroom discussions.Assess and grade student assignments as directed by the course Lecturer.Address student inquiries and concerns promptly.

Join our team at Columbia University as a part-time Adjunct Associate Faculty for an advanced course on AI User Interfaces for Analytics. This role offers analytics professionals an exceptional opportunity to contribute their expertise while gaining valuable experience in graduate-level education at one of the leading institutions in the world.Key ResponsibilitiesParticipate in all class sessions, assist with instructional delivery, lead breakout discussions, and engage students in meaningful dialogue.Conduct class lectures and oversee instructional activities, ensuring a conducive learning environment.Assess and grade student assignments and assessments as required.

Columbia University is seeking skilled analytics professionals to join us as part-time Adjunct Associate Faculty for a graduate-level course on Artificial Intelligence of Things (AIOT) starting in Fall 2026. This role provides an exceptional opportunity to engage in graduate-level teaching while contributing subject matter expertise and supporting the instructional process.The course aims to equip students with a thorough understanding of IoT technologies and their integration with AI and robotics. Participants will delve into IoT architecture, critical components, and communication protocols, and will gain hands-on experience with IoT platforms, sensors, and data acquisition devices. The curriculum emphasizes practical AIOT applications for real-time decision-making in various sectors, including manufacturing, public safety, smart cities, and healthcare, while also addressing ethical considerations associated with these technologies.Through a combination of conceptual learning and practical assignments, the course features weekly lectures, readings on IoT fundamentals, and biweekly quizzes to evaluate understanding. Students will apply their knowledge through individual assignments and a collaborative term project, ensuring a solid foundation in IoT analytics and AI-driven robotic automation.

Columbia University is seeking skilled analytics professionals to join our faculty as a part-time Adjunct Associate for the graduate-level course Mathematics for AI. As an Adjunct Associate, you will provide essential subject matter expertise and support the instructional process for this course section, gaining valuable exposure to graduate-level teaching at Columbia University.Key Responsibilities:Participate in all class sessions, assist with teaching, and lead breakout sessions to enhance student engagement.Deliver class lectures and facilitate discussions, ensuring a rich learning environment.Assess and grade student assignments and assessments as requested by the course Lecturer.Monitor student inquiries and concerns, providing timely support and guidance.

The School of Professional Studies at Columbia University is on the lookout for a dedicated data analytics professional to join us as a part-time Adjunct Associate Faculty in our graduate course, Applied Analytics Frameworks & Methods I.In today's data-driven world, vast amounts of information are generated at unprecedented speeds through business transactions, online interactions, social media, and various sensors. This influx provides unique opportunities for predicting outcomes and understanding phenomena across diverse fields, including medicine, business, and space exploration. Our course emphasizes supervised learning techniques that facilitate effective predictions and insights. Students will navigate the data-wrangling process, starting with data exploration and foundational methodologies, before diving into supervised learning techniques such as linear regression, decision trees, and support vector machines. Additionally, students will engage in a predictive analytics competition to apply and integrate their learning.As an Adjunct Associate Faculty member, you will play a pivotal role in supporting the instructional process and providing subject matter expertise. This position is an excellent opportunity to gain experience in graduate-level teaching at Columbia University.Key ResponsibilitiesAttend all scheduled class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.Evaluate and grade student work and assessments as directed by the course Lecturer.Address and respond to student concerns and inquiries.

Columbia University invites accomplished analytics professionals to join as part-time Adjunct Associate Faculty for the graduate-level course on Managing Data. This position offers a unique opportunity to gain firsthand experience in graduate-level teaching while providing critical subject matter expertise. As an Adjunct Associate Faculty member, you will support the instructional process and engage with students in a dynamic learning environment.The Managing Data course equips students with essential skills for effective data management, enabling them to leverage data confidently in collaboration with technology teams. The curriculum addresses the challenges posed by diverse data languages and techniques, offering a comprehensive overview of data technologies, database engines, foundational principles, governance processes, and organizational requirements to ensure data quality.Key ResponsibilitiesAttend all class sessions, assist in instructional activities, lead breakout sessions, and facilitate engaging discussions.Evaluate and grade student assignments and assessments as directed by the course Lecturer.Address student inquiries and concerns promptly and effectively.

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our academic team as part-time Adjunct Associate Faculty for a graduate-level course in Cloud Computing. This position provides a unique opportunity to contribute to the instructional process while gaining valuable experience in graduate-level teaching at Columbia University.The Cloud Computing course is designed to expose analytics students to practical applications and concepts of cloud computing, including infrastructure, administration, and various services and applications. Emphasis will be placed on developing hands-on skills for utilizing cloud services to create distributed and scalable analytics applications.Key ResponsibilitiesParticipate in all class sessions, support instructional delivery, lead breakout sessions, and facilitate engaging discussions.Assess and grade student submissions and evaluations as mandated by the course Lecturer.Address and manage student inquiries and concerns proactively.

The Applied Analytics program at Columbia University is excited to invite seasoned data analytics professionals to join our team as a part-time Associate Faculty  for the graduate-level course Applied Deep Learning and AI. This advanced course immerses students in deep learning concepts, integrating essential components from Statistical Machine Learning. Participants will establish a robust foundation in supervised learning alongside various algorithms and methodologies. Key topics include Support Vector Machines, Neural Networks, Convolutional Neural Networks (CNN), word embeddings, attention mechanisms, transformers, encoder-decoder architectures, Generative Adversarial Networks (GAN), and Reinforcement Learning. Practical applications will provide students with insights on preparing, training, testing, and validating models.An Associate Faculty member plays a pivotal role in delivering subject matter expertise and enhancing the instructional experience for course participants. This position offers an exceptional opportunity to gain invaluable exposure to graduate-level teaching within the prestigious environment of Columbia University.Responsibilities:Attend and engage in all on-campus class sessions, assist with instruction, lead breakout discussions, and facilitate student engagement.Evaluate and assess student work as directed by the course Lecturer.Address student inquiries and concerns proactively.Conduct regular office hours for student support.

Columbia University is on the lookout for analytics professionals to join as part-time Adjunct Associate Faculty for an advanced course on Applied Generative AI in Fall 2026. This role offers an incredible opportunity to gain firsthand experience in graduate-level teaching while contributing to the academic community.The Applied Generative AI course introduces students to the fascinating field of generative modeling, a vital aspect of machine learning. Participants will explore theoretical foundations, practical applications, and gain hands-on experience using high-level APIs and open-source foundational models. The curriculum covers essential methodologies for employing, fine-tuning, and programmatically working with cutting-edge Generative AI tools. Students will also delve into the intricacies of low-level model implementations, empowering them to train and understand models based on their data, from foundational principles. Various generative models, including Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and Transformers, will be examined, with applications spanning text, image, audio, and video generation.Key ResponsibilitiesParticipate in all class sessions, assist with instructional duties, lead breakout sessions, and facilitate engaging discussions.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns in a timely and supportive manner.

The School of Professional Studies at Columbia University is actively seeking qualified candidates for the role of Adjunct Associate Faculty in the graduate-level course on Financial Securities Analysis and Portfolio Management. This part-time position offers a unique opportunity for individuals to gain valuable experience in graduate-level instruction at one of the nation's premier educational institutions.This course delves into the intricate world of financial securities, equipping students with the analytical tools necessary to evaluate financial assets and devise effective investment strategies. It serves as a comprehensive introduction to key investment topics that are crucial for those pursuing careers in investment analysis or portfolio management.Key Responsibilities:Participate in all class sessions, assist in instructional duties, lead breakout discussions, and facilitate engaging classroom interactions.Deliver lectures, oversee instructional activities, and actively participate in classroom conversations.Assess and grade student assignments and evaluations as directed by the course Lecturer.Address student inquiries and concerns, providing support and guidance throughout the course.

The School of Professional Studies at Columbia University is actively seeking seasoned industry professionals to join our team as part-time Lecturers for the graduate-level course in Analytics for Cybersecurity Management. This course provides a thorough introduction to essential cybersecurity concepts, including network security, threat detection, and vulnerability management. It emphasizes the transformative potential of emerging AI and machine learning techniques in contemporary defense strategies. Students will engage with critical frameworks, sophisticated tools, and real-world case studies that illustrate how analytics supports strategic threat intelligence, incident response, and compliance with regulations.Key Responsibilities:Facilitate engaging class lectures, instructional activities, and discussions while attending all class sessions.Address student concerns and inquiries promptly and effectively.Assess and grade student assignments and performance.Hold regular office hours for student support.

Join the International Research Institute of Climate and Society as an Adjunct Lecturer in Strategic Communication specializing in Digital Media & Analytics. This role offers a unique opportunity to engage with students through both on-campus and hybrid learning environments. You will be responsible for delivering high-quality instruction, fostering critical thinking, and guiding students in understanding the intricacies of strategic communication in the digital age.

Join Merkle Science as a Sales Lead specializing in blockchain protocols. We are at the forefront of providing cutting-edge blockchain transaction monitoring and intelligence solutions, empowering web3 companies, digital asset service providers, financial institutions, law enforcement, and government agencies to detect, investigate, and prevent the illicit use of cryptocurrencies. Our mission is to ensure the safety of cryptocurrencies and facilitate their compliant growth by providing robust infrastructure.Located in the heart of New York, with additional offices in Singapore, Bangalore, and London, our team brings together diverse expertise from top organizations including Bank of America, Paypal, Luno, Thomson Reuters, and Amazon. Having raised over $27 million from prominent investors such as SIG, Beco, Republic, DCG, Kenetic, and GGV, we are well-positioned for rapid growth and impact.

Blockchain has connected people to digital finance since 2011, supporting over 90 million wallet holders and 40 million verified users. The company has processed more than $1 trillion in cryptocurrency transactions. Role overview The Deputy BSA & Sanctions Officer helps shape and manage Blockchain’s global BSA/AML and Sanctions compliance program. This position works closely with the BSA Officer, sharing responsibility for program oversight, regulatory interactions, and cross-department collaboration. What you will do Support the design and ongoing improvement of the BSA/AML and Sanctions compliance program. Partner with the BSA Officer to ensure effective program governance and regulatory engagement. Collaborate with teams across the company to execute compliance initiatives and uphold high standards. Requirements Experience in BSA/AML and Sanctions compliance, ideally within financial services or crypto. Ability to work independently and think strategically. Comfort adapting to rapid change and growth. Location This role is based in New York.

Blockchain is shaping the future of finance by connecting people globally to cryptocurrency. As a leading and rapidly expanding global crypto platform, we empower millions to safely engage with digital currencies. Established in 2011, Blockchain has won the confidence of over 90 million wallet holders and more than 40 million verified users, overseeing over $1 trillion in crypto transactions.We are on the lookout for a driven and commercially savvy VIP Relationship Manager (RM) to spearhead and elevate Blockchain.com’s exclusive VIP and Wealth program. In this pivotal role, you will cultivate and expand a portfolio of affluent clients, serving as a trusted advisor, relationship manager, and growth partner. Your contributions will be vital in enhancing client engagement across trading, Earn, lending, OTC, and referrals, all while providing an exceptional, concierge-style experience.This senior role is revenue-impacting and tailored for charismatic, influential, and highly motivated relationship builders who excel in consultative sales environments.RESPONSIBILITIESClient Relationship Management & Concierge ServicesOwn and manage a portfolio of high-net-worth and top-revenue VIP clients.Act as the primary point of contact for clients throughout onboarding, account support, product adoption, and portfolio growth.Deliver an unparalleled, concierge-style experience through direct messaging and real-time communication channels (including Telegram).Driving Revenue Growth & Portfolio ExpansionProactively drive upsell and cross-sell across the VIP product suite, including Trading, OTC, Earn, Lending, referrals, and promotional programs.Identify opportunities to enhance client AUM, trading activity, and product penetration through consultative discovery and tailored solutions.Collaborate with clients to comprehend their trading behavior, portfolio objectives, and risk preferences to recommend fitting products and incentives.Client Discovery & Needs AssessmentConduct structured discovery conversations to comprehend client goals, asset allocation, trading patterns, and competitive usage.Segment clients by archetype (e.g., active traders vs. long-term holders) to personalize engagement and growth strategies.Collaboration with Sales, Product & Operations TeamsCoordinate closely with institutional sales, OTC, product, operations, and other relevant teams to enhance client satisfaction and service delivery.

Join Andreessen Horowitz (a16z), a leading venture capital firm at the forefront of technological advancements, as a Contractor Program Manager focusing on cryptocurrency projects. In this dynamic role, you will oversee multiple initiatives aimed at driving innovation and operational efficiency within the cryptocurrency sector.Key responsibilities include coordinating project timelines, managing stakeholder communications, and ensuring the successful execution of programs that align with our strategic goals.

Columbia University's School of Professional Studies (SPS) is actively seeking qualified candidates for the role of part-time Adjunct Lecturer to join our esteemed faculty team for the graduate-level Capstone course titled Solving Real World Problems with Analytics. This course serves as the pivotal final experience for students pursuing a Master of Science degree in Applied Analytics, where they will leverage their academic knowledge to tackle real-world challenges through consulting engagements with leading corporate or institutional sponsors. Our Capstone sponsors encompass a diverse array of industries, including finance, healthcare, consumer retail, digital media, and non-profit organizations, ranging from large global corporations to innovative startups and esteemed nonprofits.As an Adjunct Lecturer, you will serve as a primary instructor and an integral part of our faculty community.Key Responsibilities:Attend all scheduled class sessions, held weekly on either Wednesday from 6:10 PM to 8 PM ET, Thursday from 6:10 PM to 8 PM ET, or Thursday from 8:10 PM to 10 PM ET.Act as a mentor and coach to students, facilitating communication between students and corporate project sponsors, and participating in meetings with sponsor companies and student project teams.Address student inquiries and concerns effectively.Hold regular office hours to provide additional support to students.Evaluate and grade student submissions and assessments.