Abrar Admin

Georg-August-Universität Göttingen

<div>At the University of G&ouml;ttingen -Public Law Foundation-, DNPW - Abt. Agrar&ouml;kologie &amp; Funktionelle Agrobiodiversit&auml;t, there is a position as
<div>Doctoral researcher(all genders welcome)
 
Entgeltgruppe 13 TV-L/70%
</div>to be filled. Starting date is 10/1/2026. The position is limited to 3 years.
 
 
The position will be part of the research project &ldquo; Building climate resilience in agricultural landscapes through social-ecological diversification, co-design and transdisciplinary learning (AgRe-Lab) &rdquo;. AgRe-Lab will be funded by zukunft.niedersachsen , the joint science funding program of the Lower Saxony Ministry of Science and Culture and the Volkswagen Foundation. The transdisciplinary AgRe-Lab project is focusing on the adoption of climate and biodiversity measures, together with co-design processes, landscape governance, and transdisciplinary learning.
 
 
This doctoral project will investigate how climate, biodiversity measures, and semi-natural habitats interact to shape the resilience of pollinator communities in agricultural landscapes. The successful candidate will assess the relative importance of these factors across landscape gradients and reveal the landscape-scale processes underlying pollinator resilience under changing land-use conditions. The successful candidate will work closely with an interdisciplinary team of researchers and collaborate with stakeholders in the three AgRe-Lab Living Labs.
 
 
The position should be filled by October 1, 2026 (not later than November 2026) subject to the final funding approval. The salary is in accordance with the German public service salary scale (TV-L E13) with 70%. The contract will be for three years .
 
 
Your profile
 
We are seeking a highly motivated and enthusiastic scientist to join our team. Applicants must hold a university degree (Master&rsquo;s degree) in ecology, biology, agriculture, or related disciplines. Good knowledge of ecological statistics (using R) and good writing and strong communication skills are required. Fluency in written and spoken English is expected, while proficiency in German is an advantage. Entomological knowledge on pollinators, experience in scientific writing and publishing, and experience with spatial analyses in R or with GIS are desirable. A class B driving license is required , a strong willingness to travel for fieldwork and spend time at the Living Labs is essential.
 
 
Your tasks
<ul><li>Fieldwork: sampling of plant-pollinator interactions in different habitats across agricultural landscapes in the districts of Northeim, Hildesheim and Gifhorn (Living Labs)
</li><li>Data analysis
</li><li>Publication of research results in scientific journals and presentations at scientific conferences
</li><li>Participation in outreach and dissemination activities and contribution to general project tasks
</li></ul> 
Additional benefits
 
We offer a 3-year researcher position with the possibility of obtaining a doctorate degree in an innovative project. The successful candidate will join the Agroecology &amp; Functional Agrobiodiversity Lab in G&ouml;ttingen, a vibrant university city rich in cultural life. The successful candidate will be member of the G&ouml;ttingen Graduate School of Forest and Agricultural Sciences , receive career guidance and the opportunity to develop a research network.
 
 
Your application
 
Please upload your application in English including a letter of motivation highlighting also your research background, your CV with a publication list, copies of your certificates and contact information of at least two references exclusively via the application portal of the University of G&ouml;ttingen
 
 
The University of G&ouml;ttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.
 
 
Please upload your application in one pdf file including the usual documents until 8/9/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76576 . For more information get in touch with Prof. Dr. Catrin Westphal directly via E-Mail: catrin.westphal@uni-goettingen.de, Tel. +49551 3928275 .
 
 
Please note:
 
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)</div>

Doctoral researcher(all genders welcome)

<div>At the University of G&ouml;ttingen -Public Law Foundation-, DNPW - Abt. Pflanzenkrankheiten und Pflanzenschutz, there is a position as
<div>Engineer for AI-based image analysis and optical sensing of plant diseases
 
Entgeltgruppe 11 TV-L/80%
</div>to be filled. Starting date is as soon as possible. The position is initially a two-year fixed-term contract, with a possibility to convert it to a permanent contract after a successful evaluation.
 
 
The position supports research on plant diseases through the development and application of AI-based image analysis workflows and optical sensing approaches. The successful candidate will work at the interface of scientific programming, machine learning, image analysis, plant disease experiments and optical sensing technologies.
 
 
Your profile
 
We are seeking a highly motivated and technically skilled engineer with strong organizational skills and the ability to work independently and collaboratively in an interdisciplinary research environment. Applicants must hold at least a Bachelor&rsquo;s degree in computer science, data science or a related field, combined with a strong background in scientific programming, AI-based image analysis, machine learning and data management.
 
Candidates should have practical experience in processing large image datasets, implementing image analysis pipelines and training, testing and validating machine learning or deep learning models. Experience with RGB, multispectral, hyperspectral, thermal infrared or 3D/LiDAR-based image data will be considered an asset. The ability to document workflows, code and data structures clearly, and to update and expand technical knowledge and skills as required, is essential. A good command of English is required. Knowledge of German is a plus, but not required.
 
 
Your tasks
 
&bull; Development, implementation, testing and documentation of software workflows for image annotation, data import, preprocessing, quality control, model training, model testing, model validation and structured storage of results from plant disease experiments.
 
<ul><li>Application and adaptation of image analysis, machine learning and deep learning methods for RGB, multispectral, hyperspectral, thermal infrared and 3D/LiDAR-based image data.
 </li><li>Technical support for optical sensing experiments under controlled conditions, including sensor setup, calibration, measurement workflows and data quality control.
 </li><li>Support for field-based optical sensing campaigns using ground-based robotic platforms and UAV-based systems, including georeferencing, orthomosaic generation, radiometric calibration, image registration and integration with experimental field data and metadata.
 </li><li>Training and technical support of MSc students, doctoral researchers, postdoctoral researchers and other members of the division in the use of image analysis workflows, annotation tools, data management structures and model validation procedures.
 </li></ul> 
What we offer
 
&bull; An interdisciplinary and collaborative, team-oriented working environment at the interface of plant pathology, optical sensing, artificial intelligence and data science.
 
<ul><li>Integration into a scientifically active and growing division that develops modern quantitative approaches for studying plant diseases. Close collaboration with researchers, technical staff, doctoral researchers and students, with opportunities to contribute technical expertise to a wide range of research projects.
 </li><li>A family-friendly, diverse and international working environment in which we value diversity and equality. 
</li></ul> 
 
The University of G&ouml;ttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.
 
 
Please upload your application in one pdf file including the usual documents until 7/31/2026 on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76465 . For more information get in touch with Alexey Mikaberidze directly via E-Mail: alexey.mikaberidze@uni-goettingen.de, Tel. +495513923701 .
 
 
Please note:
 
With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Information General Data Protection Regulation (GDPR)</div>

Engineer for AI-based image analysis and optical sensing of plant diseases

Join Georg-August-Universität Göttingen and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Georg-August-Universität Göttingen

About Company

Doctoral researcher(all genders welcome)

Engineer for AI-based image analysis and optical sensing of plant diseases