Research Assistant for Robotic/AI-based Laboratory Automation (m/f/d)

The Technical University of Applied Sciences Würzburg-Schweinfurt (THWS) is one of the largest practice-oriented universities in Bavaria and covers a wide range of subjects with the fields of technology, social and economic sciences, design and languages. We accompany around 9,300 students in more than 65 courses on their educational path. Since 2022, THWS has been certified by the audit family-friendly university in order to meet the diversity of life plans and family forms and to actively promote the reconciliation of the profession and family of their employees. The Center for Robotics (CERI) is an institute of THWS, which, in close cooperation with regional companies, advances research and development in the field of robotics. The Institut für Medizintechnik Schweinfurt (IMES) works alongside classical medical technology in the field of automation of laboratory processes for future applications in precision medicine. The two institutes co-operate in the framework of a research project funded by the federal government on intelligent laboratory automation, which is to be filled with: Institut für Medizintechnik Schweinfurt Research Assistant for Robotics/AI-based Laboratory Automation (w/m/d) in full time Application code: 16.2.756 The place shall be occupied at the next possible time, the place of service shall be in Schweinfurt. Settings are made within the framework of a project limited to 30.09.2029 and full-time (40 hours/week). Do you want to introduce your knowledge, skills and experience into an exciting research project at the interface of chemistry/biology and robotics/KI? Do you have fun building an automated life science laboratory together with other scientists? Then you are right for this place!

The following exciting tasks await you: conceptual development and implementation of an automated process for the production of lipid-based nanoparticles (LNP) as an active substance transporter for modern active ingredients and vaccines Cooperation with an automation engineer in design, planning, construction and programming of an automated robot-assisted system for the production of medical nanoparticles Working in an interdisciplinary team from the fields of chemistry, biology, AI and engineering for analysis of experimental data, including external research institutions Development of AI tools for analysis and optimization of the automated production process: development and training of multiparametric models, statistical experimental planning and application of Design of Experiments (DoE) methods Development of a database system for automatic, structured and secure storage of process data and experimental data used for AI-based optimization Publication of results in scientific journals and presentation of results at national and international conferences and workshops Development of a Qualification and Training Concept for Students and Professionals at the Interface of Life and Engineering Supporting thesis and project work of Bachelor and Master students

successfully completed academic studies (e.g. master or university diploma) or doctoral studies, preferably in the fields of robotics, artificial intelligence, computer science or a comparable degree course, or a comparable qualification Experience in one or more of the following research areas: robot-assisted production systems, active learning, machine learning, statistical experimental planning, database systems Programming skills, in particular in the field of robotics, AI/ML and databases Knowledge of laboratory automation is advantageous good communication skills and social skills

Our Benefits: for candidates with a Master's degree: possibility for doctoral studies (Dr.-Ing.) at our Doctoral Center ''Sustainable and Intelligent Systems (NISys)'' for postdocs: Development of leadership skills by mentoring other scientific employees and engineers varied and demanding activities with flexible working time design through a sliding time account and a generous home office control 30 days of year the attractive benefits of the public service collegial cooperation in a highly motivated team with flat hierarchies and an open communication culture a wide range of possibilities for further education free parking and job ticket Bavaria Benefits in the menses of the Studierendenwerk Würzburg an attractive university city with high quality of life health-promoting measures such as discounted sports courses, health days and workshops The employment and remuneration are governed by the relevant provisions of the collective agreement of the countries with all benefits customary in public service. The grouping is carried out in the case of all conditions in remuneration group 13 TV-L. Disabled applicants are preferably hired in the case of otherwise essentially the same suitability, skills and professional performance. Our university welcomes the fact that women feel particularly addressed by the call for proposals.

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