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

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 ( https://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: https://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: https://go.fzj.de/careercenter
  

In addition to exciting tasks and a collegial working environment, we offer you much more: https://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: https://go.fzj.de/equality and on specific support options: https://go.fzj.de/womens-job-journey

Place of employment: Erlangen