Research Staff (m/f) – Machine Learning for User Modeling and User-Adaptive Interaction

 fortiss GmbH  München
fortiss is the research institute of the Free State of Bavaria for software-intensive systems and services with headquarters in Munich. The institute currently employs around 130 employees, who collaborate on research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. Research is focused on state of the art methods, techniques and tools of software development, systems & service engineering and their application to reliable, secure cyber-physical systems, such as the Internet of Things (IoT). fortiss has the legal structure of a non-profit limited liability company (GmbH). Its shareholders are the Free State of Bavaria (as majority shareholder) and the Fraunhofer Society for the Promotion of Applied Research.  www.fortiss.org
The mission of the Human-centered Engineering (HCE) at fortiss is to work out the foundations of usability for software engineering and to develop intelligent user interfaces. By utilizing machine learning techniques, our focus lies on the research into user-, domain- and task-models to ensure human-machine-interaction as natural and as robust as possible. Cognitive interaction is improved by integrating multimodal elements.

We are expanding our research team with:
Research Staff (m/f) – Machine Learning for User Modeling and User-adaptive Interaction  
__________
Your responsibilities are:
  • Developing machine learning architecture for user modeling and user-adaptive interaction
  • Analyzing the state of the art and current research results
  • Training based on data and creating models independent of domains used
  • Organizing workshops for both internal and external partners
  • Publication at top conferences and journals in the field of Intelligent User Interface, Human-Computer-Interaction, Artificial Intelligence or Machine Learning
__________
What we expert:
  • An outstanding university degree (M.Sc. or higher) in Computer Science or related technical disciplines
  • Excellent knowledge of machine learning (algorithms and approaches) and human-computer-interaction (methodologies and technologies)
  • Experience and practical proficiency with programming languages (e.g. Java, Eclipse, Git, Matlab)
  • Analytical thinking as well as independent and structured work
  • Self-initiative, commitment, and enthusiasm for new tasks 
  • Excellent communication and teamwork skills
  • Very good knowledge of English or German in both spoken and written
__________
What we offer:
  • An exciting and inspiring open research environment as well as the chance to take on new responsibilities
  • The opportunity of a PhD or Posdoc program
  • A young and dynamic work environment with highly qualified and motivated colleagues
  • Close collaborations with other leading research groups and industrial technology leaders in automotive, aerospace, medical and industrial applications
  • Opportunies for personal and professional development
  • Compensation according to the regulations of the collective wage agreement of the public service of the German provinces (TV-L)

__________
If you are Interested,
please send your complete application forms to career(at)fortiss.org 

Application code: HCE-ALL-MA-01-2018
Notice that this code needs to be mentioned in the subject line of your application.

Contact: Ms. Dr. Yuanting Liu
 
Send application to
If you are Interested,
please send your complete application forms to career(at)fortiss.org 

Application code: HCE-ALL-MA-01-2018
Notice that this code needs to be mentioned in the subject line of your application.

Contact: Ms. Dr. Yuanting Liu

 
While applying for the job please refer to jobvector and use the following reference number: HCE-ALL-MA-01-2018

About fortiss GmbH

Die fortiss GmbH ist als Landesforschungseinrichtung des Freistaates Bayern und als Innovations-zentrum an der Technischen Universität (TU) München ein Forschungs- und Transferinstitut für software-intensiver Systeme. Das vom Freistaat Bayern institutionell geförderte Zentrum ist Teil der Digitalisierungsoffensive Bayerns und kooperiert mit Forschungs-einrichtungen, Hochschulen und...

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