Aarhus University
Postdoctoral Positions in Image Recognition and Computer Vision for Ecological Monitoring Department of Ecoscience, Aarhus University The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to advance our research in image recognition, computer vision, and deep learning applied to ecological monitoring. The successful candidates will develop analysis pipelines and implement next-generation sensors for automated insect monitoring across Europe as part of ongoing EU Horizon Europe projects. Position Details Duration: 2-year postdoctoral positions Start Date: June 1, 2026, or as soon as possible thereafter Research Focus Insect declines represent an urgent ecological and societal challenge requiring innovative approaches to biodiversity data collection and interpretation. We are expanding our research group working on image-based methods for large-scale biodiversity monitoring, seeking candidates eager to push the boundaries of automated ecological data collection. These positions focus on improving detection and classification performance of deep learning models applied to millions of images collected in European monitoring programs. Key Responsibilities Quantify insect abundance, diversity, and biomass from image data Validate and benchmark model outputs Develop efficient pipelines for localizing insects on simple backgrounds and complex natural scenes Improve taxonomic classification using hierarchical classification schemes and anomaly-detection methods Test and validate next-generation insect camera traps with on-device computing for real-time detection and classification Collaborate in interdisciplinary teams spanning ecology, computer science, engineering, and biodiversity monitoring Communicate results and work closely with international partners and stakeholders These positions will contribute to developing scalable image-based monitoring tools capable of addressing fundamental questions in biodiversity and conservation. Required Qualifications PhD in computer science, biology, software engineering, or related field Strong proficiency in Python with experience in modern deep learning frameworks Solid understanding of applied statistics Experience working with large-scale image datasets Excellent English communication skills Desirable Qualifications Experience with ecological datasets or biodiversity applications Experience with hardware integration, embedded systems, or edge computing Track record of publishing technical or interdisciplinary work in relevant scientific journals Motivation to work in international and interdisciplinary research environments About the Department The Department of Ecoscience conducts world-class research in aquatic and terrestrial biology and ecology, arctic environment and ecosystems, and biodiversity and conservation biology. We employ approximately 275 academic and technical staff plus many PhD students, offering a vibrant and informal research environment with longstanding traditions for collaboration with elite international university partners. What We Offer Join a dynamic research environment emphasizing teamwork and close working relationships. The department maintains a strong work-life balance policy and actively promotes gender and age diversity. English is widely spoken, and we welcome international applicants. We offer comprehensive services for international researchers and accompanying families, including relocation services and career counseling for partners. Location C. F. Møllers Allé 8, DK-8000 Aarhus C, Denmark Application Deadline March 3, 2026 Application Requirements Applications must be in English and include: Curriculum vitae Degree certificates Complete list of publications Statement of future research plans Information about research activities Teaching portfolio and verified teaching experience (if applicable) Applications must be submitted via Aarhus University's online recruitment system. A shortlisting process will be used, and all applicants will be notified whether their applications proceed to expert assessment committee evaluation. Aarhus University is committed to fostering an attractive and inspiring workplace for all, valuing equality and diversity as assets. We encourage applicants to specify any periods of research leave to ensure fair evaluation of scientific productivity.
SLB
SLB is leading our industry into digital transformation. Our digital technology experts harness the full power of data to solve the domain's biggest challenges. We leverage the elasticity and collaboration of the cloud, apply the efficiency of high-performance computing, tap into the connectivity of the Industrial Internet of Things (IIoT), and create the industry's most advanced data ecosystems. Data drives everything we do, and our teams are at the heart of each innovation, collaborating with interdisciplinary experts to shape our dynamic global industry. With more than 90 technology centers worldwide, we have cultivated the industry's most expansive innovation network. Our teams play a crucial role in this technology leadership, collaborating with the world's brightest minds to solve challenges others deem impossible. With robust, dynamic training in emerging technologies and professional development, we support our teams at every stage of their SLB journey. In our global centers from Silicon Valley, to Europe, to Asia, our experts apply the latest technologies in a creative environment where breakthroughs flourish. Our team's solutions make a measurable impact, shaping operations in one of the world's most dynamic industries. Opportunities Available: We are looking for highly skilled graduates in the following areas to join our team: SLB Digital Positions: Artificial Intelligence Engineer Back End Software Engineer Data Analytics Engineer Data Engineer Data Scientist Desktop Software Engineer Embedded Software Engineer Front End Software Engineer Full Stack Software Engineer High-Performance Computing Engineer IIoT Engineer Machine Learning Engineer QA Automation Engineer Quality Assurance Engineer Scientific Computing Engineer Software Security Engineer User Experience Designer Benefits & Opportunities: International Opportunities Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere. Insurance Health, vision, and dental insurance for you and your dependents available from day one. Learning Opportunities Continuous professional development with access to emerging technologies and comprehensive training programs throughout your career journey. Diverse and Inclusive Culture Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced. About SLB We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. SLB is an equal employment opportunity employer committed to workplace diversity and inclusion. We provide reasonable accommodations for qualified applicants with disabilities throughout the hiring process.