PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute

Skip to main content.

• Profile
• Sign Out

View More Jobs
PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute
Kgs. Lyngby, Denmark
Job Description

Do you want to do research on cutting edge machine learning methods? 
If you are establishing a career as a researcher in machine learning, and you are motivated to work with the latest methods for quantifying uncertainty in neural networks, we can offer you the best possible foundation.  We seek a highly motivated and talented PhD student to join our group at DTU Compute, and we offer a funded PhD scholarship (3 years employment) in a vibrant interdisciplinary research environment.
The position is part of a larger research project, "Bayesian neural networks for molecular discovery", and you will join an enthusiastic team working towards the goal of developing effective methods for neural network-based molecular discovery.
Project description
One of the central challenges facing modern machine learning is to understand and quantify uncertainty to ensure that AI-driven solutions deliver accurate and trustworthy insights. In this project, our goal is to develop novel methods for uncertainty quantification in deep neural networks. In particular, we will focus on graph neural networks applied to the problem of molecular discovery. We envision that your role could be focused on developing and scaling techniques such stochastic Markov chain Monte Carlo (MCMC) sampling.
Responsibilities
During the PhD program, you are expected to:

• Develop novel methods for uncertainty quantification in deep learning.
• Work with state-of-the-art nerual network architectures applied to molecular data.
• Publish scientific papers and present research results in top machine learning conferences such as NeurIPS, ICML, UAI, and AISTATS. 
• Assist in machine learning teaching and supervision.

Qualifications
Candidates should have the following required skills:

• Proven experience in Bayesian methods, probabilistic modeling, and probability theory.
• A strong grasp of the theoretical foundations and practical implementation of Markov chain Monte Carlo (MCMC) methods.
• Proven experience with implementing machine learning methods in Python and Pytorch/Tensorflow. 
• High level of motivation and creative problem solving skills. 
• Excellent communication and writing skills in English. 

You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree.
Approval and Enrolment 
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . 
Assessment
The assessment of the applicants will be made by Associate Professor Mikkel N. Schmidt.
We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.
Salary and appointment terms 
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. 
The period of employment is 3 years. Starting date is 1 August 2024 (or according to mutual agreement). The position is a full-time position.
You can read more about career paths at DTU here .
Further information 
Further information may be obtained from Mikkel N. Schmidt, [email protected] / www.mikkelschmidt.dk . 
You can read more about DTU Compute at www.compute.dtu.dk/english .
If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. 
Application procedure 
Your complete online application must be submitted no later than 12 May 2024 (23:59 Danish time). Interviews are held continuously. 
Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply now", fill out the online application form, and attach all your materials in English in one PDF file. The file must include:

• A letter motivating the application (cover letter)
• Curriculum vitae 
• Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. 
Applications received after the deadline will not be considered.
All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
DTU Compute
DTU Compute is a unique and internationally recognized academic department with 385 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science, and engineering. We conduct research, teaching and innovation of high international standard – producing new knowledge and technology-based solutions to societal challenges. We have a long-term involvement in applied and interdisciplinary research, big data and data science, artificial intelligence (AI), internet of things (IoT), smart and secure societies, smart manufacturing, and life science. At DTU Compute we believe in a diverse workplace with a flexible work-life balance.
Technology for people
DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.

Apply Now
Job Info

• Job Identification 3369
• Job Category Phd
• Posting Date 03/20/2024, 05:24 AM
• Apply Before 05/12/2024, 05:59 PM
• Locations Matematiktorvet, Kgs. Lyngby, 2800, DK

• 
  

Similar Jobs

• 
  PhD scholarship in Raman Spectroscopy and Multi-Modal Machine Learning Models - DTU Compute
  Kgs. Lyngby, Denmark Posted on 03/07/2024
  Trending
  
  

  Join us to establish novel methods for Raman spectroscopy analysis and multi-modal machine learning models with applications in stem cell differentiation. Our dream is to perform faster and better discoveries and manufacturing for cell-based therapies.

  
  
• 
  PhD scholarship in Cryptography – DTU Compute
  Kgs. Lyngby, Denmark Posted on 12/14/2023
  Trending
  
  

  We are looking for a bright, ambitious, and motivated PhD student to join the cryptography group in the CSE Section at DTU. The 3-year PhD position will preferably start on August 1st 2024. The goal of the PhD project is to improve the state of threshold post-quantum cryptography.

  
  
• 
  PhD Scholarships (2) in Cyber-Security and Cyber-Deception – DTU Compute
  Kgs. Lyngby, Denmark Posted on 12/18/2023
  Trending
  
  

  2 fully funded PhD positions in the emerging field of cyber-deception. These are part of the project Loki: situational aware collaborative bio-inspired cyber-deception and involve collaborations with some of the top universities/researchers in the field.

  
  

Page PhD scholarship in Uncertainty Quantification for Deep Learning - DTU Compute - DTU Career Site Careers loaded

American English Dansk American English

I am an employee
 
Are You Still With Us?
It seems you've been gone for a while. For security reasons we will end your session automatically in 03:00 unless you would like to continue working.
End Session Continue Working
 
Work Summary

This summary is generated by AI Assist. Click inside the summary text box to make changes as necessary.

Discard Add Summary