Yokohama National University
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Postdoctoral Researcher / Specially Appointed Faculty Position in AI-Driven Interdisciplinary Research, Drug Discovery, and Materials Science Yokohama City University in Japan
Degree Level
Postdoc
Field of study
Computer Science
Funding
Fixed-term contract position with annual income from 3 million yen; monthly salary listed as 300,000 to 500,000 yen for a specially appointed assistant professor working 30 hours per week. Working hours are generally up to 35 hours per week, with no overtime pay or year-end bonus mentioned.
Deadline
Sep 30, 2026
Country
Japan
University
Yokohama National University

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About this position
Yokohama City University is recruiting a Research Fellow / Specially Appointed Faculty Member / Postdoctoral Researcher for the J-PEAKS project at its Tsurumi Campus in Kanagawa, Japan.
The position supports new interdisciplinary research led by outstanding faculty members, with a strong focus on integrating generative AI, LLMs, machine learning, computational science, cheminformatics, bioinformatics, drug discovery, materials science, and life sciences. The work may include molecular and materials design, simulation-based research, experimental planning and optimization, predictive modeling, data analysis, and collaboration with experimental, clinical, and computational researchers inside and outside the university.
This is a fixed-term, non-tenure-track contract role. The posting lists an annual income starting from 3 million yen, with a monthly salary of 300,000 to 500,000 yen for a specially appointed assistant professor working 30 hours per week. Working hours are generally up to 35 hours per week.
Eligibility: applicants must hold a doctoral degree or be expected to obtain one by the start date. The university welcomes candidates with experience in AI/machine learning, data science, computational science, molecular simulation, chemistry, materials science, drug discovery, life sciences, or medicine. Strong Python/programming, software development, deep learning, generative AI, Bayesian optimization, experimental data analysis, and English publication/presentation experience are preferred.
Deadline: applications must arrive between 2026-09-08 and 2026-09-30, and the call may close earlier once a candidate is selected.
How to apply: download or check the university application forms, prepare the required documents, and submit them by email to [email protected]. Use the subject line specified in the posting: [Outstanding Faculty: Terayama Project] Application for Specially Appointed Faculty Member/Postdoctoral Researcher.
Funding details
Fixed-term contract position with annual income from 3 million yen; monthly salary listed as 300,000 to 500,000 yen for a specially appointed assistant professor working 30 hours per week. Working hours are generally up to 35 hours per week, with no overtime pay or year-end bonus mentioned.
What's required
Applicants must hold a doctoral degree or be expected to obtain one by the time of employment. Candidates should be cooperative, responsible, and able to communicate smoothly with collaborators inside and outside the lab. Basic knowledge or experience is required in one or more of machine learning, AI, data science, information science, cheminformatics, bioinformatics, computational science, quantum chemical calculations, molecular simulations, or experiments/data analysis in chemistry, materials science, drug discovery science, life sciences, or medicine. Preferred experience includes Python programming, data analysis or software development, machine learning/deep learning/generative AI/LLM/Bayesian optimization, molecular or materials design, quantum chemistry or molecular dynamics, experimental work, English paper writing, and international conference presentations; not all preferred items are required.
How to apply
Prepare the required electronic application documents, including the university resume form, achievements list, up to 3 main publications, a one-page research summary, and a one-page project aspiration statement. Send the application by email with the subject line specified in the posting. Applications are accepted by email only; the portal web application is not available.
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