PhD-position - Data Mining, Inference, Prediction and Simulation in Semiconductor material

Organisation/Company: Forschungszentrum Jülich

Research Field: All

Researcher Profile: First Stage Researcher (R1)

Country: Germany

Application Deadline: 19 Jan 2038 – 03:14 (UTC)

Type of Contract: To be defined

Job Status: Other

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? No

Offer Description

IAS-9 – Materials Data Science and Informatics

Area of research: Promotion

Your Job:

• Strengthen the data science and machine learning activities of the IAS-9 with exciting new topics.
• Work in a multidisciplinary team of enthusiastic data scientists, software developers and domain scientists on:

• Development and adaptation of existing data mining and machine learning models.
• Design and implementation of machine learning algorithms for extracting information from experimental 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 with interaction and collaboration with other scientists and project partners.
• Preparation of scientific publications and participation in international conferences and workshops.

Your Profile:

• A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science, physics or a related subject (or comparable proven experience).
• Practical experience in 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 (e.g., PyTorch).
• Prior knowledge and experience with microscopy, topography or crystallographic defects is highly desirable.
• Prior knowledge and experience with FEM software (e.g., 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 teamwork.

Our Offer:

• The opportunity to conduct exciting research in an international and multidisciplinary environment with outstanding infrastructure.
• A creative work environment at a leading research facility, located on an attractive research campus at the TZA Aachen.
• 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, with 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 (e.g., between Christmas and New Year).
• Opportunity to develop your strengths through a comprehensive training 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. Further information on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available on their website.

Place of employment: Jülich/Aachen

We particularly welcome applications from people from diverse backgrounds (e.g., regardless of age, gender, disabilities, sexual orientation/identity, as well as social, ethnic, and religious backgrounds). We strive to offer a diverse and inclusive working environment in which people enjoy equal opportunities and can fulfill their potential.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over €5 billion, the Helmholtz Association is Germany’s largest scientific organisation.

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