Research Intern
About the job
- Currently enrolled in a PhD program in a relevant research area for self-improving ML.
- Track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as publications or projects.
- Ability to collaborate effectively with multiple researchers. It is essential to feel comfortable in a collaborative environment.
- Research on topic(s) including but not limited to in-context learning, neural module networks, generalization with few amount of training data and AI applications for building a sustainable world.
- Publish research papers in scientific journals and conferences. Showcase the work via presentation in talks, conferences and workshops.
About the company
Fujitsu provides ICT products and services for businesses, including computing hardware, networking equipment, software, and related consulting and managed IT services. It delivers hardware platforms (servers, storage, networking) and software that run on them, along with services to design, implement, and manage digital infrastructure, data centers, and applications. It differentiates itself with a long global track record, end-to-end capabilities, and deep integration of hardware, software, and services across regions, reflecting its telecom-to-IT shift. Its goal is to help customers manage information and communications technology to support digital transformation and business continuity worldwide.
Company Size
10,001+
Company Stage
IPO
Headquarters
Tokyo, Japan
Founded
1935
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Simplify's Take
What believers are saying
- September 2026 MONAKA launch accelerates revenue from cloud, defense, and European sovereign AI demand.
- May 2026 OpenAI and Anthropic partnerships strengthen Fujitsu’s enterprise AI sales motion.
- Defense tech programs with ATLA and Lockheed Martin expand 2026 pipeline beyond traditional IT services.
What critics are saying
- UK Post Office fallout still drives redundancies, cash injections, and blocked public-sector trust.
- Fujitsu ends mainframes by 2035; Monaka adoption must replace a shrinking legacy revenue base.
- If MONAKA or Uvance underdeliver by 2027, Fujitsu becomes a lower-growth services vendor.
What makes Fujitsu unique
- September 2026 MONAKA servers target sovereign AI buyers with Japan-made hardware and software integration.
- Fujitsu’s Uvance model now bundles consulting, AI agents, and AI platforms across industries.
- Defense, quantum, and supercomputing capability create uncommon access to regulated enterprise workloads.
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Benefits
Health Insurance
401(k) Retirement Plan
401(k) Company Match
Hybrid Work Options
Company News
Fujitsu will begin selling its Monaka processors and servers in November, bringing forward plans originally targeting 2027. The Japanese company will offer the chips to cloud operators and server manufacturers. The Monaka processor features four 2nm compute dies with 36 cores each, totalling 144 cores. It uses Broadcom's 3D-chip stacking technology and Armv9 architecture, incorporating four SRAM 5nm chiplets connected by a central I/O die with DDR5 and PCIe 6.0 connectivity. Fujitsu will launch three server configurations: one-unit and two-unit models for general use, plus a two-unit variant designed for high-performance computing. The company claims the processor can handle double the inferencing output of rival CPUs. Initial sales will target Japan and Europe, with Fujitsu positioning the technology as a sovereign solution. Pricing has not been disclosed.
Fujitsu plans to export AI semiconductors developed using technology from its Fugaku supercomputer to the US and Asia as early as next year. The Japanese company is leveraging its supercomputing expertise to enter the AI chip market, targeting international expansion in key regions where demand for artificial intelligence processing capabilities continues to grow.
Fujitsu has developed the world's first working prototype of a diamond-spin quantum computer incorporating tin-vacancy centres into photonic integrated circuits. The prototype operates at -271.6°C, higher than typical superconducting quantum computers at -273.13°C. The system can be used via Fujitsu's Hybrid Quantum Computing Platform without specialist knowledge. It represents progress towards modular quantum computing architecture due to high fidelity and efficient optical connectivity. The prototype is based on joint research started in 2020 by Fujitsu, Delft University of Technology, and QuTech. Fujitsu aims to achieve a 250 logical qubit system by fiscal 2030 and 1,000 logical qubits by fiscal 2035. The diamond-spin approach offers scalability and potential integration with superconducting quantum computers for more complex computations.
Exostar is providing its secure environment building technology for Fujitsu Limited's "Fujitsu Trusted Supplychain Service" in Japan. The technology, based on Exostar Managed on Microsoft 365, will enable organisations across Japan's defense and critical infrastructure sectors to collaborate securely and maintain compliance. The service addresses converging cybersecurity mandates across allied defense supply chains. In the US, the Department of Defense's CMMC programme establishes requirements for contractors handling controlled unclassified information. Japan's Ministry of Defense has introduced similar requirements aligned with NIST 800-171 standards. Exostar's platform supports over 200,000 companies in 175 countries, including more than half of the US Defense Industrial Base. The company has collaborated with Fujitsu since 2019.
Fujitsu has raised its year-end dividend and announced new AI partnerships, prompting investors to reassess the stock's valuation. Shares currently trade at ¥3,591, up 16.78% over one month but down 16.66% year to date. Analyst estimates suggest a fair value of ¥4,591, implying the stock trades at approximately a 27% discount. The company's modernisation revenue grew 44% year-on-year, whilst Uvance revenue rose 52%, with Uvance now representing 29% of segment sales. This reflects Fujitsu's transition from legacy hardware to higher-margin cloud and consulting services. The stock trades at a P/E of 20.6x, above the Japanese IT industry average of 14.4x but below peers at 61.1x. The valuation case depends on international operations stabilising and sustained AI adoption.