Postdoctoral position in machine Learning and its use for dynamical systems - Hiring in process/Finished, not possible to apply

At the Division of Systems and Control, we develop both theory and concrete tools for learning, reasoning, and acting based on data. An overarching goal is for both humans and machines to better understand the complexity of the real world. Probabilistic models form a central part of our research, allowing us to systematically represent and cope with the uncertainty inherent in most data.  Data and learning algorithms are also important components of our research. It remains a major challenge to develop efficient and accurate learning algorithms capable of handling high-dimensional models, data rich applications, complex model structures, and diverse data sources that arise in many of the data analysis problems that we are currently facing.

Read more about our benefits and what it is like to work at Uppsala University

Duties
You will be developing flexible models (deep neural networks) for modeling and analysis of phenomena that change over time. This contains elements of basic research in machine learning and also applied research in collaboration with researchers in medicine. The applied research consists of modeling of cough based on recorded sound.

The position involves research for the most part and a small amount of teaching is also included. You are expected to run your project independently and you have the freedom to develop your own ideas within the overall framework of the project. We offer a stimulating interdisciplinary environment where you work closely with experts in deep learning, statistics, signal processing and medicine. As a postdoctoral fellow at the Department of Information Technology, you will be able to benefit from the strong research environment at Uppsala University in machine learning.

Requirements
PhD degree in Machine Learning or a similar subject or a foreign degree equivalent to a PhD degree in Machine Learning or a similar subject. The degree needs to be obtained by the time of the decision of employment. Those who have obtained a PhD degree three years prior to the application deadline are primarily considered for the employment. The starting point of the three-year frame period is the application deadline. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

To be eligible for the position, you must have good knowledge in machine learning (specifically in-depth learning and modeling of sequences / dynamic systems), as well as a self-motivated and creative personality and a great interest in both basic research and applied research. Since the project requires collaboration with researchers both within and outside the group, you should have good social skills. You should be able to communicate freely in English.

Additional qualifications
Knowledge of deep learning, including practical experience of associated software tools.

Application
The application must include:

1. A Curriculum Vitae (CV),
2. List of publications,
3. Up to five selected publications in electronic form,
4. Description of your current and previous research (max 1 page) and suggestions for future research (max 1 page),
5. Contact information for two references,
6. A personal letter in which you briefly justify why you are applying for this position and state the earliest possible starting date (max. 1 page).

About the employment
The employment is a temporary position of 2 years according to central collective agreement. Scope of employment 100 %. Starting date as soon as possible. Placement: Uppsala.

For further information about the position, please contact: Professor Thomas Schön (tel: 018-471 2594, e-mail: thomas.schon@it.uu.se)

Please submit your application by 4 July 2022, UFV-PA 2022/2574.

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