Research Associate - Device characterization of tandem solar cells and machine learning

Helmholtz Association of German Research Centres; Deutschland; Vor Ort; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading German research institution is seeking a postdoctoral researcher to join a consortium focused on building a predictive model for tandem cell stability. The role requires a Master and PhD in relevant materials and scientific fields, coupled with experience in predictive modeling and strong communication skills. This position offers a diverse and meaningful environment with a flexible work-life balance, including 30 vacation days and support for international employees.

Leistungen

30 days of vacation

Flexible working hours

Professional development support

Company pension scheme

Qualifikationen

• Must have a Master and PhD in relevant fields.
• Experience in predictive modeling using various methods is required.
• Effective scientific communication skills, shown by publications/presentations are crucial.

Aufgaben

• Build a predictive model for tandem cell stability.
• Conduct degradation and characterization of solar cells.
• Develop and adapt models for time series data within AI workflows.

Kenntnisse

Predictive modeling

Regression techniques

Neural networks (CNN, GNN)

Data analysis (Python, Origin)

Scientific communication

Ausbildung

Master and PhD degree in materials science, physics, chemistry, informatics, machine learning, energy technology or related subjects

Jobbeschreibung

Area of research

Scientific / postdoctoral posts

Job description

Your Job:

You will be a member of a consortium of leading research institutes and an industry partner. Your task is the build-up of a predictive model for tandem cell stability. Your tasks in detail:

• You receive tandem solar cells from a partner institute and perform high throughput degradation and characterization
• Development of existing predictive models with respect to prediction of time series data in hybrid AI workflows, that is, under consideration of physical model parameters
• Adaption of the protocol of the high throughput characterization to maximize the predictive capacity of the AI model
• Scientific communication of the results (publications, conference presentations)
• Intense interaction with consortium

Your Profile

• Master and PhD degree in materials science, physics, chemistry, informatics, machine learning, energy technology or related subjects
• Prior experience in building predictive models using regression techniques, neural networks (CNN, GNN) or symbolic regression
• Experience in the dissemination of scientific results, demonstrated by publications and presentations at conferences
• Willingness and ability to participate in international meetings
• Experience with conducting and documenting scientific experiments as well as processing and analyzing data (Python, Origin)
• Good communication in English; knowledge of German advantageous (but not compulsory)

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 support you in your work with:

• MEANINGFUL TASKS: The position offers a varied and diverse role in an international environment
• WORK‑LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family‑friendly company policy. The option of flexible working (in terms of location) is generally available after consultation and in line with upcoming tasks and (on‑site) appointments
• VACATION: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year`s)
• FLEXIBILITY: Flexible working time models, including options close to full‑time (go.fzj.de/near-full-time), allow you to tailor your working hours to suit your individual needs
• KNOWLEDGE & FURTHER TRAINING: Your professional development is important to us – we provide targeted, individual support
• FAIR REMUNERATION: Depending on your existing qualifications and the tasks assigned to you, you will be classified in pay grade 13 of the TVöD‑Bund (Collective Agreement for the Public Service). All information on the TVöD‑Bund collective agreement can be found on the BMI website: go.fzj.de/bmi.tvoed. The monthly salaries in euros can be found on page 69 of the PDF download.
• ADDITIONAL BENEFITS: Benefit from attractive additional services such as a company pension scheme with employer contribution. In addition to your basic salary, you will receive an annual bonus and capital‑forming benefits
• FIXED‑TERM: The position is limited to 2 years
• SUPPORT FOR INTERNATIONAL EMPLOYEES: Our International Advisory Service makes it easier for international employees to get started
• CAREER CENTER: You will receive explicit support with regard to your career development opportunities: go.fzj.de/careercenter

In addition to exciting tasks and a collegial working environment, we offer you much more: go.fzj.de/benefits

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us.

The following links provide further information on diversity and equal opportunities: go.fzj.de/equality and on specific support options: go.fzj.de/womens-job-journey

Place of employment: Erlangen

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.