Post by Jakob Beetz

Research Position: Postdoc and Doctoral Researchers in Interlinking Heterogeneous Data and Research Data Management in the Built Environment The Design Computation Team invites applications from highly qualified and passionate researchers for postdoctoral and doctoral positions in the fields of interlinking heterogeneous data and research data management in the built environment. Context and Mission As part of #NFDI4Ing—the national research data infrastructure platform for the Engineering Sciences—and the JOINT Excellency Cluster CARE (Climate-Neutral and Resource-Efficient Construction) by #RWTH Aachen University and TU Dresden, you will contribute to cutting-edge research and development in data integration and #FAIR platforms. Your work will focus on preparing data for Machine Learning (ML) and AI-driven research, advancing the digital transformation of the built environment. Your Profile We are seeking candidates who bring: - Expertise in research and development involving heterogeneous information sources in the built environment. - In-depth knowledge of Linked Data and Semantic Web methods and technologies. - A Master’s or Doctoral (PhD) degree in Computer Science, Engineering, or a related field. - Proven experience in developing, maintaining, and deploying research software prototypes. - Familiarity with Building Information Modeling (BIM) and Research Data Management (RDM) is highly desirable but not mandatory. What We Offer - A dynamic, interdisciplinary team of researchers and practitioners. - The opportunity to work on high-impact projects at the intersection of data science, AI, and sustainable construction. - Access to state-of-the-art infrastructure and collaboration with leading institutions. - A supportive environment for professional growth, including mentorship and networking opportunities. - Competitive compensation and benefits, in line with academic standards. Your Role You will: - Develop and implement innovative solutions for integrating and managing heterogeneous data in the built environment. - Contribute to the design and enhancement of FAIR data platforms. - Collaborate with interdisciplinary teams to advance data-driven research in engineering and construction. - Publish and present your findings at international conferences and journals. Why Join Us? This is a unique opportunity to shape the future of data management and AI applications in the built environment, while working in a collaborative and forward-thinking academic setting. If you are passionate about data science, sustainability, and innovation, we encourage you to apply. We look forward to receiving your application, including a CV, cover letter, and relevant publications and project links. Please send both to https://lnkd.in/epdDRsrd and in mail to me using the subject line [CARE4NFDI]