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Postdoctoral Open Positions!
🌟 General Positions: Postdoc Position on Yau Mathematical Sciences Center, Tsinghua University
Requirements
📘A PhD or equivalent in Mathematics, Statistics, or a closely related field.
📈An outstanding research record in Applied Mathematics.
🖥️Strong proficiency in computational methods and numerical analysis.
🤝Demonstrated ability to work independently and collaboratively in a research team.
💬 Excellent written and verbal communication skills in English.
✨A strong publication record in relevant fields is highly desirable.
🏆Higher priority will be given to candidates with expertise in: Inverse Problems, Machine Learning Theory and Applications, Optimisation, DL for PDEs, and Graph Learning.
📧 How to apply? For the first-round evaluation, please send your CV to aviles-rivero@tsinghua.edu.cn
🚩We encourage you to apply early, as applications will be reviewed on a rolling basis.
🌟 Specific Position 1: Joint postdoctoral position on Computational Mathematics for Inverse Problems.
This position is jointly with Prof. Tieyong Zeng from the Department of Applied Mathematics and the Director of the Center for Mathematical Artificial Intelligence at The Chinese University of Hong Kong (CUHK).
Requirements
📘A PhD or equivalent in Mathematics, Statistics, or a closely related field.
📈An outstanding research record in Inverse Problems and Imaging Sciences.
✨A proven track record of high-quality publications in top-tier journals or conferences.
🤖Experience with computational techniques and applications related to imaging and inverse problems.
💻 Strong coding and algorithm development skills are a plus.
📧 How to apply? For the first-round evaluation, please send your CV to
both aviles-rivero@tsinghua.edu.cn and zeng@math.cuhk.edu.hk
🚩We encourage you to apply early, as applications will be reviewed on a rolling basis.
🌟 Specific Position 2: Joint postdoctoral position on Graph Learning.
This position is jointly with Prof. Yue Gao from iMoonLab! (Learn more about iMoonLab at https://www.gaoyue.org)..
Requirements
📘 PhD or equivalent in Mathematics, CS, or a closely related field.
📈 Outstanding research record in Graph Learning, with publications in top-tier venues.
🛠️ Proficiency in computational techniques and algorithm development.
🤖 Experience in applying Graph Learning to real-world challenges.
💬 Strong written and verbal communication skills in English.
📧 How to apply? For the first-round evaluation, please send your CV to
both aviles-rivero@tsinghua.edu.cn and gaoyue@tsinghua.edu.cn
🚩We encourage you to apply early, as applications will be reviewed on a rolling basis.
PhD Open Positions!
🌟 PhD at Tsinghua Univeristy: For currently at Tsinghua University and preparing for your qualifying exams
Ideal candidates should have:
📘 A solid foundation in topics in applied mathematics, statistics, or related fields.
📈 Strong analytical and problem-solving skills.
🏆 Interest in topics such as Inverse Problems, Machine Learning Theory and Applications, Optimisation, Partial Differential Equations (particularly DL for PDEs), or 🔗Graph Theory and Learning.
✉️ Please drop us an email at aviles-rivero@tsinghua.edu.cn
🌟 [Co-PI, external grant] PhD Candidate in Deep Learning for Healthcare (Switzerland)
Fully funded by the Swiss National Science Foundation (SNSF).
🌐 More: https://math-ml-x.github.io/positions/
Internships and Visiting Schemes!
Are you passionate about Applied Mathematics🔢, Machine Learning🤖, and their diverse applications? We are excited to announce opportunities for both internships and visiting schemes, offering unique ways to engage in research within a dynamic and collaborative environment.
🌟 Internships
📅 When will be the internship period? We typically take place during the summer, providing hands-on experience and
collaboration with leading experts.
🤝 We offer several internship schemes to accommodate varying interests and schedules, with
options available during the summer and throughout the year.
⏳ When will be the application deadlines? Application deadlines for these opportunities are usually in February or March, so be sure to apply early to secure your spot!
📧 How to apply? Please send your CV to aviles-rivero@tsinghua.edu.cn
🌟 Visiting Schemes
📦What schemes that we support? We support visiting schemes for example programs such as ELLIS, LMS, CSC, and others, providing opportunities for
researchers to join us and contribute to impactful projects.
📅When will be the internship period? These visiting schemes are open year-round, creating avenues for meaningful collaboration.For any inquiries or further information, feel free to reach out.
Don’t miss the chance to be part of an inspiring and forward-thinking research community!
📧 How to apply? Please send your CV to aviles-rivero@tsinghua.edu.cn