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PhD position in infinite-dimensional optimization for theoretical machine learning

We are looking for a talented, research-oriented PhD candidate to join the project "Regularized dynamics in optimization schemes for neural networks-based models".

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Key takeaways

  • Hours 40 hr.
  • Salary indication € 2,541 - € 3,247
  • Deadline 10 Jul 2022

Gradient methods, such as gradient descent and stochastic gradient descent, achieve remarkable performances in neural network training but suffer typically from strong instability that makes the optimization of specific architectures challenging, time-consuming, and susceptible to attacks. For this reason, a dynamic regularization of the optimization algorithm is often necessary. Our goal is to lay a solid theoretical foundation able to unify different regularization strategies by looking at the gradient-flow structure of the training algorithm. We will use these theoretical insights to study sparsity properties of neural networks during training, analyzing how they depend on the chosen regularization. We will then develop a robustness theory for dynamically regularized neural networks able to explain and defend against adversarial attacks. Applications to biological data-driven models such as CT-reconstruction, single-particle tracking (SPT) for fluorescence microscopy and microbubbles flow for drug delivery will be considered.

The PhD candidate will work under the supervision of Dr. Marcello Carioni and will be part of the group Mathematics of Imaging and Artificial Intelligence (MIA) headed by Prof. Christoph Brune at the department of Applied Mathematics. There will be plenty of opportunities for collaborations with researchers in group of Prof. Carola Schönlieb at the University of Cambridge and in the group of Prof. Kristian Bredies at KFU Graz.

Your profile

  • You have, or will shortly acquire, an MSc degree in Mathematics;
  • You have a solid theoretical foundation in one or more of the following topics: optimization, theoretical machine learning, functional analysis, inverse problems, partial differential equations, numerical analysis, calculus of variations;
  • You are interested in improving your coding/programming skills during the PhD;
  • You are proficient in English.

Our offer

  • As a PhD student at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
  • An active research group, bridging applied and pure mathematics;
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
  • You will receive a gross monthly salary ranging from € 2.541,- (first year) to € 3.247,- (fourth year);
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
  • A family-friendly institution that offers parental leave (both paid and unpaid);
  • You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
  • We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

Information and application

Are you interested in this position? Please submit your application before July 10, 2022 via the ‘Apply now’ button below and include:

We particularly encourage/support female applicants to apply.

For more information regarding this position, you are welcome to contact Dr. Marcello Carioni m.c.carioni@utwente.nl

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About the organization

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

About the faculty EEMCS

Curious about what the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) stands for? Check out the EEMCS website for more information.

A job that matters

Create new opportunities for yourself, your colleagues and our society. Scientist or teacher, administrator or facilitator, thinker or doer, energetic leader or silent support – your work at the University of Twente matters. And you too!

How to apply

Step 1

Apply.
When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Apply now

Step 2

Selection.
The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer.

Want to know more?

Carioni, M. (Marcello)

Carioni, M. (Marcello)
Assistant Professor

Carioni, M. (Marcello)
Assistant Professor

Do you have questions about this vacancy? Then you can contact Marcello for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

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