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PhD Intern (Computer Engineering) - Evening Shift

We are seeking a highly driven and research-oriented Computer Engineering PhD Intern to join our Research & Development team. This role is designed for doctoral candidates who are passionate about applying advanced research, analytical thinking, and technical expertise to real-world engineering and technology challenges.

Key Responsibilities

  • Conduct in-depth research in computer engineering and related technical domains
  • Design, develop, test, and evaluate advanced software systems or engineering solutions
  • Analyze complex problems using research methodologies, simulations, and experimental approaches
  • Collect, interpret, and present research data to support technical decision-making
  • Contribute to technical documentation, white papers, and research publications
  • Collaborate with engineering, product, and research teams to align research objectives with business needs
  • Participate in technical reviews, brainstorming sessions, and knowledge-sharing activities
  • Stay updated with emerging technologies, tools, and academic advancements in the field

Requirements

  • Currently pursuing a PhD in Computer Engineering, Computer Science, or a related discipline
  • Strong academic background in algorithms, system architecture, and advanced computing concepts
  • Proficiency in one or more programming languages such as Python, C/C++, Java, or similar
  • Solid understanding of research methodologies, data analysis, and experimental design
  • Excellent analytical, problem-solving, and critical-thinking abilities
  • Strong written and verbal communication skills

Shift Timings: 6:00pm - 3:00 am

Job Type: Internship
Contract length: 4 months

Application Question(s):

  • Are you currently enrolled in a PhD program in Computer Engineering or a related field?
  • Are you comfortable working on the Evening Shift?
  • Are you available for a full-time or part-time Internship?
  • What is your Expected Salary?
  • What is your Current Salary?

Work Location: In person

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