Scientific Researcher
vor 2 Monaten
We are seeking a highly motivated and skilled Research Scientist to join our team at Helmholtz-Zentrum Dresden-Rossendorf (HZDR). The successful candidate will be responsible for developing a modularized platform that incorporates a magnetic levitation system into a rare-earth containing particle-laden two-phase system.
Key Responsibilities:- Design, construct, and experiment with an apparatus that is modularized in magnetic levitation system, measurement system, and two-phase system.
- Implement microelectrode array-based electric impedance/resistivity tomography measurement system module and calibrate it with optical imaging.
- Advance modeling the physical picture of the two-phase system within magnetic levitation system and correlate measurement system data with key parameters for rare-earth separation.
- Acquire supervised machine learning knowledge and prepare to implement and evaluate AI-based data processing system for extracting key parameters for rare-earth separation.
- Demonstrate the developed system to interested industrial partners and assist the HZDR technical transfer department and KepRE project partner with two-part exploitation strategy.
- Draft patents and present results in well-recognized peer-reviewed journals and conferences.
- Completed university studies (Master/Diploma) in Electrical engineering or related fields with excellent grades.
- Strong experimental skill with organized work style in experiment planning, execution, result analysis/documentation, and reporting.
- Prior knowledge or expertise in electric impedance or resistivity tomography is a strong advantage.
- Knowledge of fluid dynamics involving particles (solid, gas, oil) in a watery two-phase system is highly desirable.
- Knowledge on magnet and magnetism.
- Knowledge in PCB design, National Instruments products, sensor technology (conductivity/impedance, optical imaging), signal processing.
- Strong coding skill for data processing, modeling, and an interest in supervised machine learning.
- Organized working style, self-dependent working style, problem-solving skills, outcome-oriented working style.
- Good teamwork and communication skills, good written and fluent verbal communication skills in English.
- Experienced in one of the software/programming languages: e.g. Python, C++/C, MATLAB.
- Experienced in hardware automation with LabVIEW or Python.
- 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".
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