Engineering

(Senior) R&D Engineer in Predictive Analytics (F/H) 100%

100%
Permanent
Alpnach

Facing the challenges of our time

Help us grow and be more impactful!

Our “Predictive Analytics” group, based in Alpnach, Switzerland is looking for a Senior R&D Engineer in Predictive Analytics.

Mission 

The Predictive Analytics group develops algorithms for predictive maintenance and process optimization of industrial systems. The group is leading projects in many sectors such as manufacturing, logistics or transportation with tasks at every stage: research, feasibility, prototyping, industrial implementation and deployment.

As an R&D engineer in the group, your task is to find and implement the best solutions for diverse industrial problems faced by our clients. You will have to understand quickly the complex industrial processes managed by our clients by collaborating with them. Monitoring the latest publications in machine learning and optimization, you will be able to suggest and use state-of-the-art methods to carry concrete projects to success. By working on multiple stages of projects across many industries, you will develop quickly your technical and soft skills.

 

Responsabilities

  • Development of algorithms in predictive maintenance and process optimization in all aspects: data preprocessing, model development and testing.
  • Project management of industrial & innovation projects. Depending on experience: meeting leading, budget management, resource allocation, objectives, issues or specific parts thereof.
  • Preparation of proposals for external (Innosuisse, EU) & internal research projects.
  • Monitoring of the state-of-the-art

 

Your profile

Know-how

  • Master's of PhD degree in Computer Science, Neuroinformatics, Engineering, Robotics or a similar field a focus on Deep Learning & Optimization for tabular and time series data, preferably with several years of industrial experience
  • Strong background in mathematics and statistics for implementation of recent developments in machine learning.
  • Advanced programming skills in Python and pyTorch is a must.
  • Experience with git.
  • Knowledge in many learning and optimization techniques such as RNN, CNNs, Transformers, GANs, Random Forest, Graphs, Gaussian Processes, Monte-Carlo Tree Search,
  • Experience with manufacturing processes is a big plus.
  • Experience with cloud computing (AWS) and front-end design (C#, web design) is a plus

Interpersonal skills 

  • Analytical, organized, team-player.
  • Motivation to bring innovation to success in industry.
  • Fluency in English required, German a big plus

CSEM mission and values

Our mission is the development and transfer of innovative technologies to the Swiss industry. Our objective is to make an impact on our customers and on society at large in the fields of precision manufacturing, digital technologies and sustainable energy. Our strength is the excellence of our people, about 550 passionate specialists dedicated to innovation and technology transfer. We believe that strong values support the successful development of our organization as well as the harmonious and balanced development of all our employees.

We are

  • A unique place between research and industry at the cutting edge of new technologies
  • An innovative, non-profit, and employee-driven company
  • A dynamic, multidisciplinary, and multicultural environment
  • A solar team focused on enabling solutions to energy challenges for a sustainable world

Working@CSEM means

  • being part of a passionate community
  • incredible flexibility, attractive working conditions, and great opportunities of development
  • benefit from a management style based on trust & feedback and that favors a work-life balance

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity.

We look forward to receiving your complete application file via (CV, cover letter, certificates & diplomas) our job page.

Preference will be given to professionals applying directly.