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PhD Research Internship 2027 (Quantum Error Correction)

55$
Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
PhD Research Internship 2027 (Quantum Error Correction): Investigating quantum error-correction experiments through algorithms, simulations, decoding methods, and architectural models with an accent on quantum-classical systems, computer architecture, and hardware-software co-design. Focus on reducing compute, communication, memory, latency, and power requirements, analyzing decoding trade-offs, and producing reproducible research code.

Location: Hybrid, based at the US office in Cambridge, Massachusetts; full-time for 10–12 weeks. Authorization to work in the United States is required for the duration of the internship.

Salary: $55.70 per hour, DOE.

Company

hirify.global develops quantum error-correction technology and partners with quantum hardware providers and government agencies to advance fault-tolerant quantum computing.

What you will do

  • Develop algorithms, simulations, or architectural models to evaluate quantum error-correction approaches.
  • Investigate ways to reduce compute, communication, memory, latency, and power requirements for QEC systems.
  • Explore trade-offs between decoding performance, logical error suppression, and classical resource requirements.
  • Collaborate with quantum scientists and engineers across QEC theory, decoding, software, and hardware.
  • Analyze results and communicate findings through technical discussions, presentations, and written reports.
  • Produce clear, reproducible research code and supporting documentation.

Requirements

  • Currently pursuing a PhD in Physics, Mathematics, Computer Science, Computer Engineering, Electrical Engineering, or another related technical field.
  • Research experience in at least one relevant area: running quantum circuits on quantum hardware; decoding algorithms or quantum error-correcting codes; computational models, simulations, or research software; programming in Python, C, C++, or another relevant language; computer systems and architecture; or computer architecture and quantum-classical systems.
  • Strong analytical and problem-solving skills.
  • Ability to communicate complex technical ideas clearly.
  • Ability to take initiative and work effectively with researchers and engineers from different disciplines.
  • Authorization to work in the United States for the duration of the internship.
  • Availability to work full-time for 10–12 weeks.

Nice to have

  • Research experience with qLDPC or surface codes.
  • Familiarity with QEC decoding or predecoding techniques.
  • Experience exploring classical resource requirements for fault-tolerant quantum computing.
  • Experience with scientific computing, quantum circuit simulation, or QEC simulation tools.
  • Contributions to academic publications, open-source software, or collaborative research projects.
  • Experience with hardware-software or compiler-hardware co-design.
  • Understanding of latency, bandwidth, or power constraints affecting quantum control and decoding systems.

Culture & Benefits

  • Diverse, collaborative environment bringing together software and hardware development, quantum information theory, physics, and mathematics specialists.
  • Global team representing more than 20 nationalities.
  • Free snacks and refreshments.
  • Regular social and cultural events.
  • Reasonable role-related expenses may be reimbursed, but travel to Cambridge at the beginning or end of the internship and accommodation during the internship are not covered.
  • Interns must sign an agreement assigning ownership of intellectual property produced during the internship to hirify.global.

Hiring process

  • Submit a CV and cover letter by November 6, 2026.
  • The CV should include education, research experience, and relevant technical skills.
  • The cover letter should explain the application motivation and relevant skills and experience.

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