University Assistant postdoctoral

Job title:

University Assistant postdoctoral

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Job description

Offer DescriptionJob description:At the University of Vienna, over 10,000 people work together on the big questions of the future. Approximately 7,500 of them are academic staff members. These are individuals who, with their curiosity and their continuous pursuit of excellence, engage in international cutting-edge research and teaching. With us, you will also find space to unfold your potential. We are looking for a/anUniversity Assistant postdoctoral50 Faculty of Life SciencesWorking hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc)Limited until: permanentReference no.: 3336The Computational Drug Discovery and Design Group (COMP3D, ) at the Faculty of Life Sciences focuses on developing computer-based methods, particularly those involving machine learning and artificial intelligence, to predict the biological, medical, and toxicological properties of active substances. These innovative technologies enable the development of effective and safe drugs more quickly, efficiently, and sustainably.Where to apply WebsiteRequirementsSpecific RequirementsYour personal sphere of play:As a postdoctoral researcher, you will work on the development of cutting-edge methods in artificial intelligence and machine learning in the context of drug discovery. Not only will you become a key member of our international and interdisciplinary team, but also have the opportunity to train and take leadership responsibilities, and shape the present and future working environment and research topics of our group, together.You will have flexible working hours and can work remotely at times, in consultation with your supervisor, Assoc.-Prof.Dr. Johannes Kirchmair. The position is available for immediate filling, also as a part-time position if desired. The position is initially limited to 3 years, after which it can be extended to 6 years.Your future tasks:

• You develop an independent research profile in artificial intelligence and machine learning, in the context of drug discovery.
• You take a leading role in the research and management of the COMP3D group, including its high-performance compute resources.
• You supervise the research conducted by master’s and doctoral students.
• You contribute to the Department’s teaching activities.
• You engage with colleagues from adjacent fields and collaborate on interdisciplinary research.
• You publish internationally and give lectures.
• You apply for projects and raise third-party funds.

This is part of your personality:

• Completed doctoral/PhD studies in Computer Science, Computational Science, Cheminformatics, Bioinformatics, Chemistry, or a related field, or you expect to complete them in the near future.
• Established experience in modern machine learning and artificial intelligence.
• Research competence and initiative proven through international publications in reputable conferences or journals.
• Ideally, competency in chemistry, specifically pharmaceutical chemistry.
• Excellent written and spoken English skills, demonstrated by high-quality academic writing and communication.
• Experience in research management and supervision.
• Strong social and communicative skills.

Additional InformationBenefitsWhat we offer:Work-Life Balance: You have flexible working hours and can also work remotely at times.Inspiring Work Environment: You are part of a dedicated team with diverse academic backgrounds, giving you plenty of room to develop your personal interests and take on responsible tasks.Work Laptop: A powerful work laptop (Linux/Mac OS/Windows) is provided.Childcare Support: The Kinderbüro Universität Wien GmbH offers childcare places for children from 6 months old ( ).Good Public Transport Connection: Your new workplace is easily accessible by public transport.Internal Training: We continuously offer you the opportunity to deepen your skills. Choose from a wide range of free courses.Fair Salary: The base salary of EUR 4,752.30 gross (for 40 hours/week full-time employment) increases if we can credit professional experience.Employment Extent: Up to 40 hours.Equal Opportunities for All: We welcome every additional personality to the team!Work Location(s)Number of offers available 1 Company/Institute Universität Wien Country Austria City Wien Postal Code 1010 GeofieldContact CityWien WebsiteStreetUniversitätsring 1 Postal Code1010STATUS: EXPIREDShare this page

Expected salary

€4752.3 per month

Location

Wien

Job date

Sat, 14 Dec 2024 05:08:43 GMT

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