Job
- Level
- Erfahren
- Job Feld
- Software, Data
- Anstellung
- Teilzeit / Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- 53.000 bis 77.000€ Brutto/Jahr
- Ort
- Jena
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du KI-Methoden, integrierst diese in bestehende Systeme und evaluierst deren Anwendung für die Analyse sammelbasierter Daten in interdisziplinären Projekten.
Job Technologien
Deine Rolle im Team
- The selected candidate will employ, adapt and assess methods from the literature in the areas of foundation models, few- and zero-shot methods and domain generalization in established team projects and novel projects, integrate the developed methods into the Senckenberg infrastructure and make developed methods usable for end users.
- Work in team projects
- Independent analysis and solution of problems, utilizing existing methods and literature in computer vision and machine learning
- Development and implementation of own and team member's ideas and approaches for novel analysis methods of collection-based data
- Systematic analysis, evaluation and comparison of implemented methods
- Development of deployable ML-applications based on methods developed in the group for demo purposes and end-users
- Co-development, extension and curation of joint codebases
- Development of automated workflows for the digitization process and the integration of digitized data in established databases
- Curation and archiving of collection-based image- and text-datasets
- Communication with related Senckenberg groups for integrating our work in the Senckenberg environment
- Support of the group in outreach events
- Supporting administration and maintenance of the institute's server infrastructure
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's Degree in Computer Science or related disciplines
Qualifikationen
- Good written and oral skills in English & German
- Good organizational abilities, reliability and efficiency
- An open mind-set, curiosity and the desire to learn new technologies
- A collaborative attitude and good communication skills
Erfahrung
- Experience with the implementation of machine learning/deep learning, ideally computer vision approaches and pipelines
- Experience with Large Language Models and APIs
- Experience with current technologies, languages and frameworks for the development and deployment of ML methods (e.g., Linux, Bash, Python, Numpy, Pandas, Pytorch, Gradio, HTML, CSS, Javascript)
- Desirable skills include experience with computing on clusters, databases and web security, server administration or administration tools, Docker, CI/CD
Unser Angebot
- An attractive, responsible and challenging position in a globally recognized research institution with motivated and professional colleagues
- A vibrant, international team of scientists in Jena and at Senckenberg with collection-based research programs, focussing on understanding the Anthropocene Biodiversity Change
- Excellent infrastructure and collaboration opportunities at SIP embedded in a lively research environment in Senckenberg and the Friedrich Schiller University Jena
- Flexible working hours
- Mobile working options
- Employee ID card with free admission to the Senckenberg museums
- Annual special payment
- Collectively agreed vacation entitlement
- Company pension plan (ZVK)
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Senckenberg Gesellschaft für Naturforschung (SGN), Frankfurt am Main
Die Senckenberg Gesellschaft für Naturforschung (SGN) wurde 1817 gegründet und zählt zu den wichtigsten Forschungseinrichtungen rund um die biologische Vielfalt.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
- Gehalt
- 53.000 bis 77.000€ Brutto/Jahr
- Ort
- Jena
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
