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  2. PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems

PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems

Do you want to work at the forefront of research and development in a highly relevant area of calibrating deep neural models for reliable and robust AI systems in safety-critical applications? Do you like to collaborate with researchers with expertise in a scientific field outside of deep learning to develop model calibration and explain the root causes of model miscalibration for intelligent diagnostics? Then this might be the vacancy you have been looking for!

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Key takeaways

  • Hours
    40 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 2,770 - € 3,539
  • Deadline
    19 May 2024

The vacancy is focused on calibration in deep learning. Deep Neural Networks (DNNs) have demonstrated significant predictive capabilities across various domains including computer vision, speech recognition, and natural language processing. Existing sophisticated neural network architectures are frequently integrated into practical applications. However, recent research has highlighted a crucial issue: despite their high accuracy achieved through training, deep neural networks often have overconfident and underconfident predictions. Deploying uncalibrated models in real-world systems poses substantial risks, particularly in safety-critical contexts like monitoring critical infrastructure systems. Calibrating deep learning models is essential to mitigate this risk, ensuring that the model's posterior distribution accurately represents uncertainty without being excessively overconfident.

The PhD candidate is supposed to carry out research on calibration in deep learning at the Pervasive Systems Research group, Department of Computer Science, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente in the Netherlands. The candidate is expected to closely collaborate with the project partners such as Vrije Universiteit, Saxion, TNO-ESI and industrial partners ASML, Canon Production Printers, ITEC, Philips, and ThermoFisher Scientific.

The main research objectives are:

Your profile

  • The ideal candidate has a Master’s degree in either Computer Science, Electronic Engineering, Telecommunication Engineering, or Mathematics
  • You have solid background and strong experience in deep learning
  • Familiarity with Cyber-Physical Systems and systems diagnostics
  • You should be interested in solving analytical tasks, conduct experiments, and develop prototypes, combined with intermediate programming skills (e.g. in R, Python or C-something)
  • Prior experience in calibrating AI, generative AI is a plus (with frameworks such as TensorFlow and Pytorch)
  • You have a strong personality to defend your research ideas not only at university but also in an industrial context
  • You have good communication skills, and you have a strong interest in operating at the crossroads of different disciplines
  • You have an excellent command of English (C1; above IELTS 6.5 or equivalent)
  • You are able to do independent research and have publication skills

Our offer

  • As a PhD candidate 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;
  • The University offers a dynamic ecosystem with enthusiastic colleagues;
  • 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 € 2.770,- (first year) to € 3.539,- (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;
  • The flexibility to work (partially) from home;
  • A minimum of 232 leave hours in case of full-time employment based on a formal workweek of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;
  • Free access to sports facilities on campus
  •  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 send your application via the 'Apply now' button below before 19/05/2024, and include:

For more information regarding this position, you are welcome to contact Duc Le Viet (v.d.le@utwente.nl)

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About the department

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) comprises three disciplines that shape Information and Communication Technology. ICT is more than communication. In almost every product we use mathematics, electronics and computer technology and ICT now contributes to all of societies’ activities. The faculty works together intensively with industrial partners and researchers in the Netherlands and abroad and conducts extensive research for external commissioning parties and funders. The research which enjoys a high profile both at home and internationally, has been accommodated in the multidisciplinary research institutes MESA+, CTIT and MIRA.

About the organisation

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.

Want to know more?

Le Viet Duc, D.V. (Duc)

Le Viet Duc, D.V. (Duc)
Assistant Professor

Le Viet Duc, D.V. (Duc)
Assistant Professor

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

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. If applicable, we will sign you up for screening.

Your Colleagues

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.

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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!

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