Research Engineer (f/m/d)

Helmholtz-Zentrum Dresden-Rossendorf (HZDR); Dresden; Vor Ort; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

Join a leading research institute dedicated to innovative technologies in resource efficiency. As a Research Engineer, you will develop advanced sensor-based solutions for battery recycling, contributing to a greener and more circular economy. You will work in a collaborative, international environment with ample opportunities for professional growth and impactful research.

Leistungen

30 days paid leave

Company pension scheme

Flexible working hours

Employee discounts

Qualifikationen

• Completed university studies in Data Sciences, Remote Sensing, or related fields.
• Experience in optical sensors and data processing.
• Ability to work in an international team.

Aufgaben

• Develop and implement setups for imaging sensors in battery recycling.
• Process data from multiple sensors for high-quality results.
• Collaborate with a multidisciplinary team and document findings.

Kenntnisse

Analytical skills

Problem-solving

Data processing

Programming in Python

Team collaboration

Ausbildung

Bachelor or Master in Data Sciences or related field

Tools

Optical sensors

Hyperspectral imaging

Machine learning

Jobbeschreibung

With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations at Helmholtz-Zentrum Dresden-Rossendorf (HZDR) are committed to mastering the great challenges facing society today.

At the Helmholtz Institute Freiberg for Resource Technology (HIF), innovative technologies for the circulareconomy are developed to provide and use mineral and metal-bearing rawmaterials more efficiently and to recycle them in an environmentally friendly way.

The Department of Exploration, Research Group Sensors is looking for a Research Engineer (f/m/d).

Your tasks

• Develop and implement setups for point and imaging sensors and respective routines tailored for in-line object characterisation in 3D and hyperspectral imaging of material streams for process logistics in the field of battery recycling
• Implement innovative data (pre)processing techniques for spectroscopic data from multiple sensors in order to ensure high quality data, including solutions for noise reduction, calibration and correction with efficient solutions for real-time result delivery
• Contribute to the developments of advanced workflows and efficient result generation
• Collaborate with a multidisciplinary team to integrate spectroscopy-based, multi-sensor data with process performance information in battery recycling streams and discuss methods and analytical results with the team and project partners
• Document research findings and contribute to the publication of results in peer-reviewed journals and presentations at relevant conferences
  
  

Your profile

• Completed university studies (Bachelor or Master) in the field of Data Sciences, Remote Sensing, Sensors and Instrumentation or a related field
• Proven experience in fundamental methodology and handling of optical sensors for data acquisition and in data (pre)processing
• Particular experience with industrial RGB cameras, hyperspectral imaging data from reflectance cameras and 3D data analysis, additionally also from LIBS and related spectroscopy-based sensors
• Excellent analytical and problem-solving skills, with a strong attention to detail and innovative solutions for monitoring raw material separation processes
• Proven experience in image data processing including state-of-the-art machine learning models for automated material classification, unmixing, noise reduction and generalisation
• Ability to work effectively in a collaborative, strongly international team environment, showing high motivation and excellent communication skills (verbal and written)
• programming skills in Python, or similar languages, with a focus primarily on spectroscopic data analysis, positive are additional experiences with image processing and machine learning applications
• English (fluent), German (basics)
  
  

Our offer

• A vibrant research community in an open, diverse and international work environment
• Scientific excellence and extensive professional networking opportunities
• Salary and social benefits in accordance with the collective agreement for the public sector (TVöD-Bund) including 30 days of paid holiday leave, company pension scheme (VBL)
• We support a good work-life balance with the possibility of part-time employment, mobile working and flexible working hours
• Numerous company health management offerings
• Employee discounts with well-known providers via the platform Corporate Benefits
• An employer subsidy for the "Deutschland-Ticket Jobticket"
  
  

We look forward to receiving your application documents (including cover letter, CV, diplomas/transcripts, etc.), which you can submit via our online-application-system.

Apply here Jetzt bewerben

Contact

Team Recruiting

Email: [e-mail]

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