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Science & Research 🏢 Full Time ⭐️ Terverifikasi

Research Assistant (Computer Science - AI Research)

Nanyang Technological University
Singapore
Estimasi Gaji
SGD 3.500 – SGD 5.000
Terbaru
Live Update
28 Juni 2026
Batas Akhir
28 Jun 2027

Deskripsi Pekerjaan

Are you passionate about pushing the boundaries of artificial intelligence? Nanyang Technological University (NTU) Singapore, a world-class leader in academic excellence, is seeking a highly motivated Research Assistant to join our prestigious College of Computing and Data Science. This is a unique opportunity to work alongside globally recognized researchers on cutting-edge projects that bridge the gap between theoretical computer science and real-world AI applications.

As part of our dynamic research team, you will contribute to high-impact projects, utilizing state-of-the-art facilities and collaborating with a diverse team of scholars. We are looking for an individual who is eager to solve complex algorithmic challenges, publish in top-tier journals, and contribute to the innovation ecosystem in Singapore. Whether you are aiming to transition into a PhD program or seeking to advance your technical career in a research-intensive environment, this role offers unparalleled mentorship and exposure to the future of technology.

Tanggung Jawab

  • Conduct literature reviews and stay updated on the latest advancements in AI and machine learning.
  • Develop, implement, and optimize algorithms for experimental research projects.
  • Collect, clean, and analyze large datasets to support research hypotheses.
  • Prepare high-quality technical documentation, research papers, and grant proposals.
  • Present research findings at internal seminars and external academic conferences.
  • Collaborate with faculty and graduate students on cross-disciplinary computing initiatives.
  • Maintain and troubleshoot high-performance computing infrastructure as required.

Kualifikasi

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative discipline.
  • Strong programming proficiency in Python, C++, or Java, with experience in deep learning frameworks like PyTorch or TensorFlow.
  • Solid understanding of mathematical foundations, including linear algebra, probability, and statistics.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Proven ability to work independently and as part of a collaborative research team.
  • Strong written and verbal communication skills in English, with a track record of academic excellence.
  • Previous research experience or participation in university-level research projects is highly preferred.

Keahlian yang Dibutuhkan

Artificial Intelligence Machine Learning Python PyTorch Data Analysis Algorithms Computer Science Research Methodology Deep Learning Mathematical Modeling

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