We are offering: Researcher (m/f) machine learning and data analytics
This job offer is already taken.
Are you an expert in this field? We look forward to receiving your unsolicited application!Details and current job offers can be found here.
Salzburg Research’s IOT group is active (as coordinator and research partner) in several EU ICT projects as well as in large national R&D projects, always in collaboration with industry partners. We follow a permissive open source strategy (typically Apache 2.0 or similar) that makes it possible for partners and employees alike, to re-use our results for commercial or academic follow-up.
We are now entering a new large scale European project and have several national and European projects ongoing. We therefore want to extend and strengthen our team:
Researcher (m/f) machine learning and data analytics
Salzburg Research is an ICT research and development firm financed to one third by local government and to two thirds by external research contracts. We are over 60 people organized in four research groups.
You have a BSc degree in software engineering and solid experience in developing microservicebased systems, or MSc/PhD in Computer Science, Mathematics or Engineering with a solid background in Machine Learning, and you enjoy applied research and development. We are specifically looking for people who are developing open source software, and who are well versed in Java or Python.
In order to qualify for the job, you need to have significant practical knowledge in the described areas and the willingness to spend the next three years with us. We typically offer open-term contracts so as long as we are successful as a group, you will have the opportunity to work with us.
Qualifications
You are knowledgeable in data science methods and tools with a sound mathematical and statistics grounding. You have excellent skills in probability theory and programming languages (e.g. Java, Python, SciPy, R, Spark), and specifi cally:
- Experience in ML problem specifi cation (framing), data exploration, data structures, data evaluation, data cleansing
- Hands-on experience in ML methods including data visualization
- Solid background in Deep Learning and skills in using Deep Learning libraries, e.g. TensorFlow, PyTorch.
- Experience with recommendation systems (e.g. collaborative filtering, hybrid recommendation) and methods for unstructured data analysis (e.g. text mining) is a plus.
The gross annual salary for 38.5 hours per week is at least EUR 41.454,00 according to the research collective agreement in the E1 level with the possibility of overpayment. The actual classification is based on your qualification and experience.
Salzburg is one of the most sought-after destinations in the world for quality of life so it’s a place that you can also proudly show to your parents or your friends – take them for hikes in the mountains or for skiing when you’re on holiday!
jobs@salzburgresearch.at
We are looking forward to hearing from you!
