丹麦技术大学博士后职位招聘–计算机视觉和图像处理方面

Job Description 

Are you interested in advancing the deep learning models for predictive modelling? We are offering a 17-month postdoctoral position dedicated to the development of deep learning-based approaches aimed at predicting material properties derived from micro-CT scans. As a vital member of our cross-disciplinary research team, your focus will be on creating methods to predict properties relevant to mozzarella cheese, contributing to the goal of ensuring more sustainable food production.

Responsibilities and qualifications
A major challenge in computer vision lies in efficiently training scalable deep learning models. This becomes particularly pronounced when dealing with problems like inferring properties connecting images to functional characteristics, where pixel-wise labels for supervised training are unavailable. Instead, our emphasis will be on extracting image features that can predict these functional properties. Your initial research will involve evaluating the effectiveness of state-of-the-art representation learning and metric learning methods. Engaging in this project will empower you to become an expert in this field and make contributions that surpass current standards.

We anticipate that you possess a solid background in machine learning, along with hands-on experience in computer vision and image processing. Our commitment is to conduct research at a high international standard, publishing outcomes in top-tier venues. While there is a focus on micro-CT scans of mozzarella cheese in the underlying research project, you will also engage with publicly available benchmark data to ensure the demonstration and comparison of the effectiveness of the methods developed in our project.         

As a formal qualification, you must hold a PhD degree (or equivalent). 

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 terms of employment 
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 17 months. Starting date is 1st of May (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 Anders Nymark Christensen, anym@dtu.dk

You can read more about the department at https://www.compute.dtu.dk/english/about-us 

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark .

Application procedure 
Your complete online application must be submitted no later than 29 February 2024 (23:59 Danish time). 

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:

• Application (cover letter)
• CV
• Academic Diplomas (MSc/PhD – in English)
• List of publications 

Applications received after the deadline will not be considered.

All interested candidates irrespective of age, gender, disability, race, religion or ethnic background are encouraged to apply.

DTU Compute is Denmark’s largest environment for mathematics and computer science. DTU Compute’s management consists of acting department director and deputy director Jan Madsen, and 10 research section leaders. The department consists of 10 research sections, several centres and a management secretariat. In our  brochure  you can get a peep into our world. 

DTU Compute embraces both the deep theory and the practical applications. It enables us to pass on new ideas to innovative products for the benefit of business and public institutions. 

We take problems and challenges from other disciplines and lift them into a virtual world where we can make models, calculations and simulations. The results of this work we can lead back to the real world and thus solve a wide range of problems. 

All engineering students must go through our department as part of their education at DTU. At the same time, we train many engineers who become specialists in our specific areas. Together with our students, we create knowledge and innovation so that we can develop the society of the future. 

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.