Senior Scientist Data- and Research Software Engineering (m/w/d)

Your ResponsibilitiesCompleting the development agreement with objectives in research, teaching, and administrationActive contribution to the working group Complex Social & Computational Systems (CS)² at the IDea_Lab of the University of GrazManagement of large data sets for the research group (CS)²Support of the research group (CS)² in research software developmentManagement of the high performance computing (HPC) infrastructure of the research group (CS)² in collaboration with the IT administratorDevelopment and implementation of independent research projects as well as application and participation in the application for third party funds at the intersection between computer science and the subject areas of the universityNetworking with relevant stakeholders and supporting university research projects, administrative units, and other stakeholders (e.g., spin-offs and start-ups) in the scientific use of the HPC infrastructure and the application of modern methods from the fields of Natural Language Processing and Machine Learning, in close coordination with the AI & Cloud ManagerCollaboration on organizational and administrative tasks as well as evaluation measures, particularly those derived from the university-wide AI strategy and the ongoing research data governance processYour ProfileBackground in computer science or a related field and a completed doctorate/PhD degreeIn-depth knowledge of working with large data sets and databasesExperience in research software development, including in the context of natural language processing and machine learning.Excellent programming skills in PythonExcellent of written and spoken English skillsGood German language skills or willingness to learn GermanScientific excellence (demonstrated, for example, by relevant publications in reputable journals appropriate to career stage).Independent and goal-oriented working styleHigh level of teamwork and communication skillsDidactic ability to teach independently and experience in holding courses in the field of natural language processing, machine learning, or programming in PythonExperience in collaborating with scientists from different disciplines (desirable)Experience in the use or management of HPC infrastructure (desirable)Experience in leading or participating in research and third-party funded projects (desirable)Leadership competencies or training (desirable)We OfferMeaning: We offer meaningful work for the world of tomorrow.Our internal continuing education program is as colorful as the university itself.Collaboration: With us, you'll find interdisciplinary, cross-professional opportunities to work together.Benefits: Of course, there are all the usual benefits, from A "access to healthcare services" to Z "Zero emission goal".Diversity: Besides our various scientific fields and their related issues, we offer a working environment in which diversity and inclusion are lived.Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career.We offer an annual gross salary of at least € 69,060.59 for a fulltime position. An overpayment based on qualification and experience is possible.Equality PrincipleThe University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply. In the event of underrepresentation, women with equal qualifications are generally given priority for admission. We welcome applications from persons with disabilities who meet the requirements of the advertised position.Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position.Application DocumentsPlease submit 1 pdf-File in English with the following content:Letter of motivation, max. 2 pages.Academic curriculum vitae.Complete publication list.Doctoral/PhD certificate.Research statement: description of completed, ongoing, and future research projects, max. 3 pages.Organisational UnitBridging science, business, and societyThe IDea_Lab is a dynamic platform that unites individuals with interdisciplinary expertise to achieve a common goal: advancing digital transformation at the University of Graz through collaboration and cooperation across disciplines.Acting as a bridge-builder, the IDea_Lab connects stakeholders from science, business, and society. It drives forward innovative initiatives and fosters a forward-thinking dialogue on technology and the future, while contributing to knowledge creation in the ever-evolving landscape of digitalization.About UsAt the University of Graz, 4700 employees work together on future questions and solutions for the world of tomorrow. Our students and researchers take on the major challenges of society and share their knowledge. We work for tomorrow. Be part of it!ContactIf you have any questions about the position, please contact Univ. Prof. Dr. Jana Lasser (jana.lasser@uni-graz.at).