Ph.D. Student in Computer Science

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du KI- und ML-Modelle, arbeitest an Forschungsprojekten und sammelst praktische Erfahrungen durch ein 6-monatiges Praktikum in der Industrie, idealisiert durch eine fundierte akademische Ausbildung. Job Zusammenfassung In dieser Position entwickelst du KI- und ML-Modelle, arbeitest an Forschungsprojekten und sammelst praktische Erfahrungen durch ein 6-monatiges Praktikum in der Industrie, idealisiert durch eine fundierte akademische Ausbildung. Deine Rolle im Team Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding MSc degree and with a very strong scientific profile for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML). In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship period at Constructor Technology (CT), gaining first-hand industrial experience. Unsere Erwartungen an dich Ausbildung Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline. Qualifikationen A track record of publications in AI/ML or related areas. Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent). Erfahrung Hands-on experience with large language models (LLMs) and their applications. Hands-on experience with research, demonstrated through publications and/or open-source contributions. Depending on the project strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems. Unser Angebot The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Supplementary €550 mini-job allowance to support parallel part-time employment This structure follows best practices of European research funding programs and ensures that the PI can pursue research objectives with both financial and administrative stability. Themen mit denen du dich im Job beschäftigst Machine Learning AI Metadaten Level: Erfahren Job Feld: Data Anstellung: Teilzeit Vertragsart: Befristetes Dienstverhältnis Arbeitsmodell: Onsite Unternehmenstyp: Etablierte Firma Branche: Wissenschaft, Forschung Ort: Bremen | Deutschland

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