PhD student position in the field of Optimization and Machine Learning (Prof. A. Lucchi)

PhD student position in the field of Optimization and Machine Learning (Prof. A. Lucchi)

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The new research group led by Prof. A. Lucchi at the Department of Mathematics and Computer science at the University of Basel is looking for a PhD student to work in the area of optimization and machine learning. Potential topics include:

• Development of algorithms and convergence guarantees for large-scale optimization
• Theory of deep learning models
• Stochastic differential equations for optimization

Starting date around January 2022.

Your position
Your tasks include:

• Conduct research in the field of applied mathematics and computer science
• Write research papers, articles, and present results at leading international conferences. We publish in venues such as ICML, NeurIPS, ICLR, JMLR, AISTATS, SIAM journals, Mathematical Programming, and more
• Interact with national and international teams of mathematicians and computer scientists Position available starting in January 2022 (position may begin later in the spring or summer based on agreement).

Your profile
Applicants should hold a Master's degree in mathematics or computer science with an
emphasis on theory. Additional requirements include: outstanding academic record, very strong mathematics background, experience with research is not required but is a plus.
Excellent communication skills and fluency in English (spoken and written) are required.
We also seek to increase the number of women and other groups in areas where they are underrepresented and therefore explicitly encourage such groups to apply.

We offer you

• Close supervision on your Ph.D. research, working with and access to international collaborators
• A diverse range of tasks in a dynamic environment
• The possibility to travel to international conferences to meet with distinguished scientists
• Excellent salary, benefits and working conditions.

Application / Contact
If interested, please send an application as described below to [email protected] .
Your application should be a **single pdf file** containing the following files:
● Curriculum vitae (including list of publications if applicable)
● Scanned transcripts of bachelor and master's degree
● Contact info (no direct recommendation letters) for peers that can recommend you
● Your latest thesis (and/or one of your publications if applicable)
You are encouraged to send your application before September 4th 2021. However, there is no deadline for applying, and the position will be open until a suitable candidate is found. If your application is short-listed, we will contact you within three weeks. Due to a large volume of applications, we cannot inform you if your application is not selected for an interview.
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