Shape the Future of Applied STEM.
Research, Teach & Build What Matters.
Savadub Institute is an applied STEM academy and systems research division building production-grade curricula, conducting reproducible computer science research, and mentoring elite global engineers. We are actively hiring Researchers, Data Analysts, Principal Software Engineers, and Lecturers who care deeply about craft, scientific rigor, and educational impact.
Why Exceptional Scholars & Engineers Build Here
We reject bureaucratic academic politics and passive slide-reading. We build real architectures and conduct applied research with global reach.
Global Academic Reach
Mentor ambitious engineers and collaborate with researchers and institutions across North America, Europe, Africa, and beyond. Your courses and papers reach an international audience from day one.
Dual Track: Research & Applied Systems
Conduct empirical computer science research, author technical whitepapers, and stress-test architectures against real-world enterprise constraints with commercial licensing and co-authorship.
Executable Lab Sandboxes
Forget dusty PowerPoint decks. Our curriculum runs on live Git repositories, terminal drills, Docker environments, and automated testing pipelines. Teach how engineering is actually practiced.
Distinguished Peer Network
Work alongside senior systems architects, certified penetration testers, and mathematical researchers who demand excellence, uphold rigorous standards, and move fast.
Funded Research Grants & Stipends
Access dedicated compute infrastructure (AWS/GCP/Azure GPU clusters), project grant budgets, competitive teaching honorariums, and named research fellowship stipends.
Async & Remote-First Flexibility
We evaluate research depth, code quality, and learner mastery—never seat time. Work from anywhere with async-first communication that respects deep focus time.
Where Academic Rigor Meets Production Mastery
Whether you are an established academic looking to publish reproducible research without bureaucratic inertia, a Principal Engineer eager to mentor the next generation, or an analytical mind modeling learner dynamics, Savadub Institute provides the platform and resources to do career-defining work.
Propose a Visiting Fellowship or Sabbatical
Are you a university professor, post-doctoral fellow, or industry research scientist interested in a semester sabbatical or funded research residency? We welcome custom research proposals.
Propose Research FellowshipApplied Research & Scientific Labs
Empirical AI/ML benchmarks, cryptography, zero-trust protocols, and distributed systems.
Data Science & Quantitative Analytics
Statistical computing, learner telemetry modeling, retention analytics, and psychometric evaluation.
Principal Systems & Software Engineering
High-throughput backends, multi-tenant SaaS architecture (Laravel, Spring Boot, Node.js), and mobile engineering.
Academic Faculty & Course Lecturers
Interactive live masterclasses, curriculum authorship, code clinics, and capstone project reviews.
Cybersecurity, Pentesting & Technical GRC
Offensive security drills, web vulnerability research, and automated compliance auditing.
Curriculum & Educational Architecture
Terminal laboratory design, automated grading engines, Dockerized lab sandboxes, and LMS tooling.
Current Academic & Engineering Openings
All roles are remote-first unless otherwise specified. We hire globally with high enthusiasm for world-class technical talent.
Applied AI Systems & Machine Learning Researcher
Design reproducible empirical benchmarks, evaluate high-throughput LLM serving pipelines and agentic toolchains, and author technical whitepapers grounded in production MLOps and mathematical computing.
- Master’s or Ph.D. in Computer Science, Applied Mathematics, or equivalent demonstrable research track record
- Strong proficiency in Python, PyTorch/JAX, statistical computing, and distributed training pipelines
- Track record of technical publications, reproducible open-source research artifacts, or enterprise AI deployments
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Systems Security & Cryptographic Protocol Researcher
Conduct applied vulnerability research, zero-trust cryptographic verification, and develop automated compliance testing playbooks across multi-cloud enterprise architectures.
- Deep expertise in network protocol analysis, memory safety, binary exploitation, or cryptographic primitives
- Familiarity with enterprise compliance standards (ISO 27001, SOC 2, HIPAA, NIST CSF)
- Demonstrated ability to author rigorous vulnerability advisories and publish reproducible security toolchains
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Senior Data Analyst & Quantitative Modeler
Construct quantitative models, analyze student learning telemetry and lab execution performance, and build exploratory analysis pipelines across structured relational datasets and time-series metrics.
- 4+ years of quantitative data analysis using Python (Pandas/Polars/NumPy), SQL, and statistical packages
- Solid grounding in empirical hypothesis testing, causal inference, and exploratory data visualization
- Experience creating executive-ready dashboards, academic reports, and reproducible Jupyter analytical workflows
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Educational Data & Learning Operations Analyst
Analyze curriculum efficacy, cohort completion trajectories, and skill assessment rubrics across our 9 academy tracks to optimize student progression and instructional interventions.
- Proven experience in psychometrics, student retention modeling, or educational operations analytics
- Proficiency in PostgreSQL, automated ETL pipelines, and BI visualization platforms
- Meticulous attention to detail and strong passion for student mastery and pedagogy optimization
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Principal Software Engineer — Distributed Backend & Cloud Systems
Lead architectural design of enterprise reference architectures (Laravel, Spring Boot, Node.js), multi-tenant SaaS engines, asynchronous message queues, and high-performance database schemas used in production and curriculum labs.
- 8+ years building and maintaining high-throughput distributed backends and event-driven architectures
- Deep expertise in Domain-Driven Design (DDD), PostgreSQL query optimization, Redis pub/sub, and Docker/Kubernetes
- Passion for clean code, code review rigor, developer tooling, and mentoring rising engineers
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Principal Software Engineer — Cross-Platform Mobile & Client Architecture
Architect our flagship Flutter and cross-platform mobile curriculum, author custom native platform channels (Android/iOS), implement reactive state management standards, and design automated CI/CD build pipelines.
- 6+ years in mobile software engineering with deep mastery of Flutter/Dart and native iOS (Swift) / Android (Kotlin)
- Experience architecting offline-first synchronization, local encryption, and deep link navigation trees
- Track record of publishing robust mobile packages, production apps, and developer educational resources
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Senior Lecturer / Faculty Lead — Software Systems Engineering
Deliver masterclasses, lead code-review clinics, evaluate capstone software architectures, and guide mentored cohort learners through production engineering methodologies.
- Extensive real-world industry experience as a Senior/Staff Engineer or technical educator in PHP/Laravel or Java/Spring Boot
- Exceptional verbal and written communication skills with ability to break down complex architectural patterns
- Dedication to providing empathetic, constructive, and rigorous code feedback to ambitious students
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Lecturer — Information Security, Pentesting & Technical GRC
Instruct cohort students in ethical hacking, web application penetration testing, network exploitation drills, and enterprise security compliance auditing frameworks.
- Recognized security credentials (OSCP, CEH, CISSP, CISA) or equivalent field penetration testing portfolio
- Command-line mastery in Linux, Burp Suite, Metasploit, Nmap, and compliance audit matrices (SOC 2, ISO 27001)
- Passion for teaching defensive and offensive cybersecurity techniques with strict ethical standards
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Lecturer — Applied Artificial Intelligence & Statistical Computing
Teach foundational to advanced AI engineering, statistical computing in Python, exploratory data analysis, and supervise hands-on machine learning projects and model deployments.
- Strong background in statistical modeling, exploratory computing, and modern machine learning pipelines
- Fluency in Python, Jupyter ecosystem, Scikit-Learn, PyTorch, and cloud ML deployments
- Engaging teaching style capable of bridging mathematical theory with production code execution
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Submit Your Academic Candidacy
Whether you are applying for an active opening, proposing a visiting research appointment, or exploring adjunct lecturing, we review every high-caliber application directly.