Post doc in Computer Science with a focus in machine learning - Hiring in process/Finished, not possible to apply

The department is now seeking a postdoc in computer science with a focus in machine learning. As a postdoc you will participate in the project Data Analysis for Knowledge Intensive Product Development (DATAKIND), financed by the Knowledge Foundation (KK-Stiftelsen), Jönköping University and two industry partners. Machine learning is used in knowledge-intensive product development both as an integrated part of the products and systems that are being developed as well as a supporting tool during development. Algorithms and methods need to be adapted to the specific needs of the industry, which can consist of e.g. customizations for real time- and distributed calculations, conformal prediction or to generate interpretable models. As a post doc you will work with the development and customization of methods and algorithms based on machine learning in close collaborations with the projects industry partners.

Job Description

In the position of a post doc you will primarily (80%) conduct research and participate in research projects in the area of computer science. You will work with the development and customization of methods and algorithms based on machine learning in close collaboration with industry partners. You will also be an active participant in the development of the research area as well as the development of the departments new academic program and courses in artificial intelligence and machine learning.

The position also consists of teaching, for example in the form of laboratory exercises and supervision of thesis work (20%).

Qualifications

The position as a post doc requires that you have a Ph.D. in computer science or related field. You will have good programming skills and possess proven knowledge and skills in at least one of the following areas: machine learning, data mining, artificial intelligence, as well as one of the following areas: real time and distributed computing, conformal prediction, generation of interpretable models.

It is meritorious if you have experience in participating in a research project in collaboration with industry. Knowledge of machine learning algorithms for real time- and distributed computing, conformal prediction and interpretable models is also of merit.

Due to the international working environment, a good level of the English language, both written and oral, is expected. It is meritorious if you also know Swedish. As a successful candidate you should also be driven and with a good ability for both collaboration and independent work.

Terms

This is a temporary position for two years and full-time, with a start date of July 2019, or as agreed upon. Working conditions are regulated in collective agreements and Jönköping University implements individual salary setting.

Information

For further information you are welcome to contact; Head of department, Anders Arvidsson; Project manager, Tuwe Löfström, Union representatives, Mikael Palmgren (Saco-S) or Thomas Axelsson (ST). You can reach them by contacting the main switchboard: 036-101000.

Please also read applicable parts of "Appointment Procedure at Jönköping University"

We kindly decline all sales and marketing contacts regarding this ad.

Application

Welcome with your application, no later than March 3, 2019. Your application must include:

• Personal letter
• CV
• List of publications, if applicable
• Certified copy of doctoral degree
• Name and contacts for two references