M-2481 RESEARCHER IN THE VAPOR DEPOSITION OF THIN FILM CATALYSTS
- Belval, Esch an der Alzette
- Unbefristet
- Vollzeit
- Working closely with the different external and internal stakeholders to successfully design, validate and develop edge, cloud and high-performance architectures; propose viable options based on factors like performance, infrastructure in place, or application and project requirements
- Design, develop, validate and support architectural plans, solutions and/or proof-of-concepts within the scope of the different projects that are covered, e.g. machine learning, analytics; offer operations support
- Communicate results through software demonstrations, analysis, and comparisons/review and through presentations/reports as per the project's needs. Will also need to intervene, on a per-need-basis, in providing training or support material
- Conduct technical and literature reviews and keep up with the state of the art in the field of software engineering/design
Demonstrated experience with Big Data technologies and frameworks, both in the commercial and open-source domains
Strong skills in information systems for complex event processing and real-time analysis of business operations data
Experience in supporting machine learning projects like efficient data extraction and querying
Knowledge of data analytics, machine learning techniques and modeling is considered a plus
Collaborative skills, initiative, result-oriented, excellent organization and capacity to work in an interdisciplinary environment;
Strong interest in engaging in innovative value-creation activities with partners in the Industry 4.0 domain
Demonstrated ability to generate new ideas, concepts and solutions
Excellent analytical and report-writing skills; excellent communication skills (oral, written, presentation)CompetenciesThe candidate is expected to have sufficient knowledge and experience with technical skill sets and expertise like:Demonstrated strong knowledge and experience with distributed storage/computing, open-source frameworks such as Hadoop, Spark
Demonstrated strong experience with developing and architecting large-scale software solutions over cloud-based platforms like IBM Cloud, AWS, Azure, SAP Cloud Platform, Google Cloud Platform etc.
Strong skills in Java and/or Scala, JavaScript
Strong knowledge of classical machine learning models and concepts along with clear understanding of building data pipelines for analytics projects
Knowledge and experience working with technologies like Docker and Kubernetes
Knowledge with respect to designing, managing and hosting Big Data repositories/lakes
Sufficient awareness and experience with CI/CD practices
Experience in managing Git or any other version control tools/practice
Knowledge of R/Python is a considered a plus
Expertise with designing, developing and deploying IoT solutions is considered a plus
Application of these into concrete projects in the Industry 4.0/Manufacturing domain is a plusLanguageFluency in English (written/verbal) is mandatoryAdditional InformationWork Location(s)Number of offers available 1 Company/Institute Luxembourg Institute of Science and Technology Country Luxembourg City Belval GeofieldWhere to apply WebsiteContact WebsiteSTATUS: EXPIRED
EURAXESS