New job opportunities

The Softeng and R4A groups of the Intelligent Systems and Software Engineering Laboratory (ISSEL) are looking for three (3) research associates to work in GSRT-funded R&D projects.

 

Specifically, selected candidates will work on the design and development in one or more of the following projects:

– Open data and open service management platform
– Low code software development platform
– IoT device management and IoT data analytics platform
– IoT application marketplace
– Software analytics tools

 

The positions have an initial timespan of 6 months, with extension potential to at least 24 months, starting as soon as possible. The collaborators will work at the ISSEL premises, along with the other members of the research team.

 

The necessary skills for the positions are:

– A degree in Electrical and Computer Engineering or Computer Science/Informatics
– Excellent knowledge of English (and will to learn basic Greek)
– Knowledge of Javascript programming

 

Additional skills will be evaluated as well:

– Back end development experience in Node.js
– Front end development experience in React or Angular
– Experience in management and annotation of open data / ontologies and relevant tools
– Experience in Unix/Linux
– Knowledge of Python programming
– Will to learn

 

Candidates have to fill in the form at: https://issel.ee.auth.gr/job-application/ until the 5th of June 2019, where they also have to provide links for the following:

– A detailed CV
– Copies of degrees
– Any other documents that could assist the applicant’s selection (e.g. development portfolios)

 

Practical Machine Learning in R – a new book by ISSEL

A new book is published by the ISSEL group. The book is about quickly entering the world of creating machine learning models in R. The theory is kept to minimum and there are examples for each of the major algorithms for classification, clustering, features engineering and association rules. The book is a compilation of the leaflets the authors give to their students during the practice labs, in the courses of Pattern Recognition and Data Mining, in the Electrical and Computer Engineering Department of the Aristotle University of Thessaloniki.

You can find it at: https://leanpub.com/practical-machine-learning-r