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PhD-position - Data Mining, Inference, Prediction and Simulation in Semiconductor material
vor 3 Monaten
Your Job:
You will strengthen the data science and machine learning activities of the IAS-9 with exciting new topics. You will work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on, ,
Design and implementation of machine learning algorithm for extracting information from experiment data
Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy
Incorporation of machine learning results with simulation methods
Working on project-related tasks where you can interact with other scientists, and collaborate with project partners
Preparation of scientific publications and participation in international conferences and workshops
Your Profile:
We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:
Practical experience in the area of data analysis, data mining and ML/DL demonstrated through, , a thesis, publications in peer-reviewed journals or open source projects
Strong programming skills in python and experience with deep learning frameworks (, pytorch, …)
Prior knowledge and experience with microscopy, topography or crystallographic defects is highly desirable
Prior knowledge and experience with FEM software ( FENICS, …) is highly desirable
Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method
Excellent communication skills and commitment to work as part of a team
Our Offer:
We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change We offer ideal conditions for you to complete your doctoral degree:
A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen and the Forschungszentrum Jülich
The opportunity to attend national and international conferences
Extensive company health management
Ideal conditions for balancing work and private life, as well as a family-friendly corporate policy
Flexible working hours, the option of slightly reduced working hours
Continuous mentoring from your scientific supervisor
30 days of annual leave and provision for days off between public holidays and weekends ( between Christmas and New Year)
Opportunity to develop your strengths, through a comprehensive training programme; a structured programme including continuing professional development and networking opportunities specifically designed for Jülich’s doctoral researchers by the Jülich Center for Doctoral Researchers and Supervisors (JuDocS):
In addition to exciting tasks and the collaborative working atmosphere at Jülich, we have a lot more to offer (
The position is initially for a fixed term of 3 years but with the prospect of longer-term employment. The salary is in line with pay group 13 (75 %) of the Collective Agreement for the Public Service (TVöD-Bund). In addition, an annual special payment is granted (“Christmas payment”), which amounts to 60 % of the monthly salary.
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