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Join us and let us work together to create AI-assisted process optimization and support our team beginning immediately (unrestricted full/ part time) and with full commitment as a   Data Scientist for Process Intelligence   in Dresden. You will be familiar with functional programming and Streaming Technologies, and your task will be both to implement data analysis pipelines in our Detact applications and to engineer self-learning models and software. Our globally active customers’ exciting high-end industrial processes await you, along with an international, 20-person team of developers, mathematicians, and engineers. We strongly believe that we can make production processes more intelligent and efficient through automated data analyses. Consequently, we are breaking new ground today in close cooperation with our customers and partners. Your new challenge: Implementation of data analysis pipelines using functional programming and streaming technologies and its implementation in web-based applications by Detact Development of intelligent models and software for real-time analysis, prediction and recommanded action / self-regulation of production processes Occasional presentations of results and procedures to external and internal stakeholders Dealing with customer-specific production processes and their logical connections. Exchange with technical experts and system suppliers What you will need: Solid programming skills in Scala or a strong Java background with an interest in learning Scala Frameworks like Akka, Akka Http, Akka Stream or libraries like Alpaca are well known to you Affinity for functional programming and algorithmics Ability to express mathematical and algorithmic ideas in scripting languages like R or Python Quality awareness and careful work distinguish you Communication competence and the desire to put yourself in the conditions of complex production processes Your career prospects: Creative freedom to develop independent solutions that make our applications even more intelligent and powerful Genetic Algorithms, Combinatorial Optimization, Swarm Intelligence, Deep Learning, Anomaly Detection, Dimension Reduction, Mathematical Statistics and Explainable Artificial Intelligence (XAI) Wide range of training opportunities in the cutting-edge technologies Cooperation with well-known, leading and globally active companies Excellent working atmosphere in a growing and international team with great colleagues at an extraordinary creative location, the Kraftwerk Mitte Dresden Above-average remuneration and profit sharing High flexibility at the workplace with the option of a home office Opportunity for phd through our close cooperation with the TU Dresden KI Coding Challenges, Kaggle Challenges, openAI gym Our tools and technologies: Scala / Java / Java EE / Javascript / HTML / Kafka / Spark / Akka / Alpakka / Cassandra / Kafka / Maven / SBT / Docker / Git / Kubermetes Angular / GitHub / JSon / YML / HOCON / Keycloak Python / R / Shiny / Jupyter Notebooks Confluence / Jira / Scrum / Design Thinking Linux / Windows / IOS / Android Convinced? Then please send us your meaningful documents to karriere@symate.de. We will be happy to answer any questions regarding the call for proposals by phone +49 351 8999-4680.

In your new role you will: Advance your expertise in   artificial neural network architectures ,   learning techniques   and their   neuromorphic implementation Learn and master   neuromorphic circuit design   approaches on   BiCMOS and CMOS technologies Develop neuromorphic concepts for the   monitoring and signal processing in radar systems Enhance your knowledge upon completion of additional   PhD modules   offered by university Document your results by writing and submitting your   PhD thesis Learning outcomes: Build up R&D skill sets, accumulate   industrial experience   and   knowledge   with focus on neuromorphic circuits for radar monitoring and signal processing Integrate   university learning   with   actual workplace application A platform to heighten   technical   and   soft competencies   through discussions and presentations to team Your Profile A doctoral student is a research enthusiast, …whose interests are scientific research combined with the passion for Infineons’ innovative products and applications …who enjoys working in an industrial environment in combination with an Infineon partner university …who appreciates open communication and the contribution of an international environment …and is thus an excellent candidate for an industrial career after completion of their thesis You are best equipped for this task if you have: A   Master degree   in   Electrical Engineering, Computer Science   or   Physic s First experience in   Artificial Intelligenc e and   Machine Learning   using related tooling frameworks (e.g. Tensorflow, PyTorch) Knowledge on the concepts of   artificial neural networks   (ANN) and   neuromorphic   implementations   of ANNs. Being familiar with   spiking neural network s is of benefit. Hands-on experience in   digital design , possibly even   analog circuit design Keenness to work in a highly motivated international team and in a challenging environment Benefits What we offer you in Dresden This is the world’s first high-volume production site for power semiconductors on 300 mm wafers