Netherlands: 1 Post-doc and 2 PhDs on Learning Analytics

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Dear LACE community,

The Open University NL is looking for enforcement for our Learning Analytics group. Right now we are looking for 1 post-doc and 2 PhDs more infos can be found here: https://www.academictransfer.com/employer/OU/  

Please forward the positions to your networks and pinpoint outstanding candidates to these opportunities. Deadline 27.06.2016

Post-doc researcher learning Analytics
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(1,0 fte) Temporary position for 4 years.
Vacancy number FAC/PenOW/16027

The Open University is offering one Post-doc Position in Learning Analytics. Within our international research projects we conduct research on learning analytics in Higher Education settings. Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. A related field is educational data mining. We are looking for a post-doc  to support our technical PhDs in working with various datasets ranging from learning management systems to physiological data collected over wearable devices. The selected candidate should have rich experiences in developing analytics systems and applying information retrieval or data mining techniques such as Spark, R, Python for process mining and predictive analytics.

Requirements

  • A PhD degree in a relevant academic subject area such as computer or data science
  • Solid background and skills in software design and machine learning (e.g. Phyton)
  • Specific expertise that is relevant for the job title would add to the candidate’s fitness, e.g. user experience engineering, web services, data  processing, educational technologies
  • Affinity with education, teaching and learning is an asset
  • Creativity, self-management skills and cooperation skills
  • Excellent academic writing and presentation skills
  • An excellent command of spoken and written English

Salary
The maximum salary for a permanent and full-time position is € 4.654,- (gross per month (salary scale 11) in accordance with VSNU standards and depending upon your qualifications and experience.

2 PhD positions
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  1. PhD in Learning Analytics
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    (1,0 fte) Temporary position for 4 years.
    Vacancy number FAC/PenOW/16028

The Open University is offering one PhD position in the field of Learning Analytics and Educational Data Mining. Within our international research projects we conduct research on learning analytics in Higher Education settings. Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimizing learning and the environments in which it occurs. A related field is educational data mining.

We are looking for a PhD candidate to explore and analyze datasets from learning management systems but also physiological wearable-computing devices such as fit bits. The selected candidate should either be able to apply information retrieval or data mining techniques such as Spark, R, Python, or be able to visualize the findings from data mining processes with Gephi, D3.js or equivalent visualization technologies. The ideal candidate will have experiences in both fields.

Requirements

  • A Master of Science degree in a relevant academic subject area, such as computer science, data mining, artificial intelligence
  • Solid skills and proven experience in software design and computer programming (e.g. JavaScript, Web Services, HTML5, XML, R, Python, Gephi  or other visualisation techniques).
  • Analytical skills, creativity, precision, proactivity, and passion for research and technology
  • Affinity with education, teaching and learning is an asset
  • Creativity, self-management skills and cooperation skills
  • Academic writing and presentation skills
  • Good English skills (spoken and written)
  • Preparedness to travel on a regular basis for international activities
  1. PhD in wearable learning support and Learning Analytics——————————————————————————
    (1,0 fte) Temporary position for 4 years.
    Vacancy number FAC/PenOW/16029

The Open University is offering one PhD position in the field of wearable learning support and learning analytics.The PhD project will be linked to two currently running European research projects in the context of formative assessment and experience transfer. The PhD will contribute to this two projects with developing theoretical models for real-time feedback systems in learning, build prototypes and do evaluation studies for publication and reporting. The work of the PhD-student will be carried out in the Welten Institute of the Open University of the Netherlands and will be directed toward achieving a PhD-degree under the supervision of senior researchers. The PhD-student will participate in the educational programme of the Dutch Research School for Information and Knowledge Systems and the Graduate School of the Open University of the Netherlands. During the first 6 months, the PhD student will contribute to setting up and fine-tuning a PhD-plans for guiding the PhD-route. To a limited extent the candidate is also offered the opportunity of being involved in other projects or activities of the Welten Institute.

Requirements

  • A Master of Science degree in a relevant academic subject area such as computer science, human computer interaction, or educational technology
  • Solid background and skills in software design and computer programming (e.g. Java, JavaScript, web-technologies, mobile technologies)
  • Background knowledge in hardware prototying platforms (Arduino, Rasperry PI) and real-time data systems
  • Background knowledge in educational processes and learning theories or applied cognitive science
  • Specific expertise that is relevant for the job title would add to the candidate’s fitness, e.g. user experience engineering, web services, data  processing, educational technologies or teaching
  • Affinity with education, teaching and learning is an asset
  • Creativity, self-management skills and cooperation skills
  • Excellent academic writing and presentation skills
  • An excellent command of spoken and written English

More details can be found here: https://www.academictransfer.com/employer/OU/  

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About Author

Dr. Hendrik Drachsler is Associate Professor for Personalised Learning Technologies at the Welten Institute of the Open University of the Netherlands. His research interests include Learning Analytics, Personalisation technologies, Recommender Systems, Educational data, mobile devices, and their applications in the fields of Technology-Enhanced Learning and Health 2.0. He is chairing the EATEL SIG dataTEL and the national SIG Learning Analytics of the Dutch umbrella organisation SURF. He is elected member of the Society of Learning Analytics Research (SoLAR). In the past he has been principal investigator and scientific coordinator of various national and EU projects (e.g., FP7 laceproject.eu, patient-project.eu, WP2 lead LinkedUp-project.eu). He has regularly chairing international scientific events and is Associate Editor of IEEE's Transactions on Learning Technologies, and the Journal of Learning Analytics.

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