PhD Scholar in Machine Learning

About the role

We are seeking a full‑time remote PhD Scholar to lead original research in Machine Learning within the School of Literature. The work focuses on applying advanced ML techniques to digital content, language technologies, and data‑driven marketing.

Key responsibilities

• Design, implement, and evaluate machine‑learning models and neural‑network architectures.
• Analyze large, complex datasets and develop experimental frameworks for pattern‑recognition tasks.
• Prepare and submit research papers to peer‑reviewed journals and present findings at conferences.
• Collaborate with faculty, industry partners, and interdisciplinary teams on project development.
• Support teaching activities, mentor junior researchers or students, and contribute to the creation of digital tools for educational and publishing initiatives.

Required profile

• Master’s degree in Computer Science, Data Science, Artificial Intelligence or a closely related field.
• Eligibility and motivation to pursue PhD‑level research.
• Proven track record of scholarly publications in reputable journals.
• Strong written and verbal communication skills for academic and teaching contexts.
• Ability to work independently in a remote environment and coordinate with international teams.

Required skills

• Proficiency in Python or R for machine‑learning development.
• Solid understanding of statistics and mathematical concepts for model evaluation.
• Experience with pattern‑recognition methods and their real‑world applications.
• Hands‑on experience with neural‑network frameworks such as TensorFlow or PyTorch.