Post-doc researcher Machine Learning

The candidate will be expected to spend most of their time in developing machine learning tools for companies (0,8 FTE), writing research publications, and spend time in regular and non-regular education developing hands-on seminars to be presented to students of the OU university and to companies (0,2 FTE). 

Tasks
The candidate is expected to conduct research and research-based teaching in one or more of the following areas:

  • Machine learning, especially deep learning and statistical approaches;
  • The mathematical and statistical foundations of machine learning; 
  • Applications of machine learning; 
  • Semi-supervised learning;
  • Reinforcement learning; 
  • Unsupervised learning;
  • Time Series Analysis;
  • Computer Vision;
  • Activity Recognition;
  • Voice and Speech Recognition.

Requirements

  • A PhD in machine learning, data science, computer science, or a closely related field;
  • Record of publications of research at a high international level in well-respected peer reviewed venues, such as top machine learning conferences or journals;
  • A record of contributing to the goals of the institutions in which he/she has worked, for example submitting proposals to H2020 is a plus;
  • Track record of successful teaching is also a plus.

The ideal candidate also possesses the following technical skills;

  • Python and R programming or willingness to learn (further and beyond);
  • Affinity with imbalanced learning, and machine learning frameworks;
  • Knowledge of Keras, Pytorch and other Deep Learning frameworks;
  • Numpy, Numba, Pandas, Scipy;
  • Affinity with Reinforcement learning;
  • Affinity with Open CV, Spacy, NLTK, libRosa for various types of signal processing tasks.

Conditions of employment
The salary will be determined on the basis of your education, experience and qualifications but will be in accordance with the general salary scales 11/12 of the CLA-NU. An indication of the maximum gross salary is €5.656,= per month based on a full-time tenure.

The Open University  provides good secondary benefits such as training, mobility, part-time employment and paid parental leave.

The employment contract is for the duration of 2 years (start around mid-2019).

Employer
Studying online anywhere in the Netherlands and Belgium (Flanders)
The Open University of the Netherlands (OUNL) is the university in the Netherlands where students study part-time and follow online and activating education in bachelor and master degree programs in seven fields of study. Characteristics of the education are openness, flexibility and quality. Enhancing the study success of students is an important point of focus. More than 14.000 students are studying at the OUNL and it has 655 employees. The OUNL has a network of regional study centers in the Netherlands and in Belgium (Flanders) (https://www.ou.nl/studiecentra). The head office is situated in Heerlen.
The most modern technologies and educational insights are applied in bachelor and master programs and courses and also in projects and programs with partners. Nationally and internationally the OUNL plays a key role in the innovation of higher education. Education and research are closely interrelated which guarantees that the current state of science is applied. The OUNL not only invests in research in the various academic disciplines, but also in research in the field of learning, teaching and technology.

Satisfied students
For several consecutive years, the OUNL has achieved a top position among the fourteen Dutch universities in the National Students Survey, the Dutch university guide ‘Keuzegids Universiteiten’ (in which the ratings by students and experts of the bachelor studies of the fourteen universities are compared), and the Dutch university guide ‘Keuzegids Masters’. In addition all studies score high in the rankings of the universities for these studies. All ratings are available on the website (http://www.ou.nl).

Department 
Faculty of Management, Science & Technology
The faculty of Management, Science & Technology (MST) is one of the three faculties of the Open University of the Netherlands (OUNL). Education, research and valorization are the main tasks of the faculty. MST offers academic bachelor and master programs in the fields of management, environmental science and computer science. Additionally the faculty offers a Liberal Arts & Sciences bachelor program as well as short programs for professionals (certified professional programs), who aim at gaining more in-depth knowledge. The research program centers on Learning and Innovation in Resilient Systems and is characterized by its multidisciplinary approach. The faculty has a large number of PhD-students who conduct research on various current topics within this research program. As a result of the interdisciplinary focus on education and research, as well as the close link with practice, work at this faculty provides innovative and challenging opportunities.

Department of Information science and Business processes
The department of Information science and Business processes is responsible for the bachelor-program Information science and the master Business processes and Information technology and the related research.

Additional information ​​​​​​
​​​​​​​For more information about this vacancy you can contact: Prof Dr Gerard Mertens, email: Gerard.Mertens@ou.nl.

For additional information about the Open Universiteit, you can visit our websites http://www.ou.nl.

PLEASE NOTE: The email address indicated above is to be used exclusively for the gathering of more information regarding this vacancy. You are urgently requested to only send your application to the email address as indicated below under ‘Application Procedure’.