Scientist (m/f/d) Sensors and Modelling

Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam

The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive and largely automated manner. We conduct research in dialogue with society - knowledge-motivated and application-inspired.

In the program area Individualized Livestock Production we focus our application-oriented basic research in line with the One Health approach improving animal welfare, husbandry environment, animal and environmental protection as well as the competitiveness of agriculture. This includes also the development and implementation of on-farm energy management based on renewable energy systems. Our research aims for objective animal welfare standards, flexible and regionally adapted concepts to solve environmental conflicts, a transparent animal husbandry, consumer acceptance and regional added value.

To support our working group Barn Climate and Emission Modelling – Department Sensors and Modelling for the European project “Development of a practical data management system with embedded sensors for improved environmental management and transparency of dairy farming (ET4D)” we are looking for a

Scientist (m/f/d) (65 %)

The interdisciplinary project ET4D connects companies, academic research institutions and universities from Germany, Denmark, Estonia, Finland, Poland, Hungary, Turkey and Israel. A key objective is to demonstrate that by transferring environmental information from farms to different interest groups, we can increase the transparency of the milk production system, support sustainable decision making and ensure that farmers will benefit directly from sharing the data collected on their farms. We will use data science approaches to model well-known cause-effect relations in the production system based on selected sensor outputs collected in case study farms across Europe. The dynamics of key features within a given range of uncertainty will be presented in tailored reports with different levels of aggregation, filtering and anonymisation of data/information.

Your responsibilities

  • Processing of sensor data from case study farms (including animal and environmental data as well as energy demands and data transfer)
  • Fitting and evaluation of regression models
  • Definition of scoring schemes and assessment indicator for tailored reporting based on social diagnosis
  • Implementation of a web application for tailored reporting
  • Communication with international project partners & support of project management
  • Presentation of project results at conferences  / workshops
  • Publish results in peer-reviewed scientific journals
  • Collect contributions and manage the submission of project reports

Your qualifications

  • Successfully completed PhD or university degree (diploma / master examination) in a scientific-technical course in the field of computer science, engineering, physics, mathematics or comparable
  • Very good knowledge in data science / statistics, particularly recurrent and time-series models
  • Very good programming skills (e.g., R or Python)
  • Experience in frontend development desirable
  • Proven ability to write scientific publications desirable
  • Strong interest in interdisciplinary research, experience in environmental monitoring and/or social diagnosis desirable
  • Very good spoken and written English skills
  • Independent and goal-oriented working style, personal commitment, reliability, high sense of responsibility, ability to work in a large international team and willingness to cooperate
  • Willingness to travel
  • European driving licence class B is desirable

We offer

  • A strong interdisciplinary, multinational network
  • Opportunities for participating in international conferences
  • Attractive, interdisciplinary working environment and very good conditions for developing your scientific career and network
  • The best prerequisites for independent, interdisciplinary research in an ambitious team and with modern and excellent infrastructure
  • Option to do a doctorate within a structured program and accompanying training courses
  • Family-friendly working conditions that promote the compatibility of work and family life
  • Flexible working hours and extensive mobile working options
  • Company-owned electric bicycles and vehicles for business trips
  • Participation on the VBB company ticket

This part-time position (65 %) is limited until April 30th, 2026.

The salary is based on your qualification and professional experience according to TV-L up to salary group 13.

For further information, please contact Dr. Sabrina Hempel (E-Mail shempel(at)atb-potsdam.de) and visit our website www.atb-potsdam.de.

If you would like to contribute your professional competence to our interdisciplinary research, please apply by the following deadline June 06th, 2023 using ATB’s online application form for the job advertisement, code 2023-5-2, at https://www.atb-potsdam.de/en/career/vacancies. Applications received after the application deadline cannot be considered.

Equality of opportunity is part of our personnel policy. Disabled applicants with adequate qualification will be preferentially considered.

By submitting an application, you agree that your job application documents will be stored for a period of six months, even in the case of an unsuccessful application. Further information on the processing, storage and protection of your personal data can be found at https://www.atb-potsdam.de/en/services/data-protection-declaration-for-the-application-process.