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Research Assistant (m/w/d) PostDoc Lehrstuhl für Bildverarbeitung
Published
Application deadline
Full-time position
Research Assistant / Associate (w/m/d)
PostDoc
Lehrstuhl für Bildverarbeitung
Our Profile RWTH Aachen University is Germany´s top‐ranked technical university with more than 50,000 students and is a member of the IDEA league. The Institute of Imaging & Computer Vision / Lehrstuhl für Bildverarbeitung (LfB, http://www.lfb.rwth‐aachen.de), being part of the RWTH Department of Electrical and Computer Engineering, is headed by Prof. D. Merhof. The LfB performs research in Image Analysis, Computer Vision, Feature Extraction, Pattern Recognition and Deep Learning, especially for biological, medical and industrial image data. Research funding is provided by national funding entities (DFG, BMBF, BMWi, AiF), EU research programs (INTERREG), as well as by industry partners.
The LfB invites applications for a PostDoc position in the area of Deep Learning and Image Analysis for Digital Pathology.
Your Profile
Applicants must have a doctorate/Ph.D. or equivalent.
Applicants must have a doctorate / PhD or equivalent. • PhD degree in electrical engineering, computer science, computer engineering, mathematics, or similar, with excellent results. • Strong skills in state-of-the-art image processing and machine learning / deep learning techniques. • Research-oriented; strong track record of top-tear conference and/or journal publications. • Leadership capabilities for small project teams (BSc and MSc as well as PhD students). • Willingness to acquire new R&D projects and to collaborate with clinical partners • Excellent communication skills, team player. • High proficiency in oral and written English. German is beneficial but not necessarily required.
Your Duties and Responsibilities
• Perform independent research projects in the above area, with focus on one or more of the following research domains: • Stain normalization • Stain translation • Analysis of multplexing data • Pathomics for kidney histology • Augmentation for digital pathology (e.g. multi-channel Cycle-GAN) • Interact with our research and clinical partners • Contribute to LfB´s teaching program • Contribute to LfB´s management and administration activities
What We Offer
The position is for 2 years and is to be filled at the earliest possible date.
This is a full-time position.
The salary corresponds to pay grade EG 13 TV-L of the German public service salary scale (TV-L).
Contact
If you have any questions, please contactProf. Dr.-Ing. Dorit Merhof
Tel.: +49 (0) 241 80 27860
Email: dorit.merhof@lfb.rwth-aachen.de
For further information, please visit our website at:
www.lfb.rwth-aachen.de/en/
Please send your application by February 22, 2021 to
Prof. Dr.-Ing. Dorit Merhof
Lehrstuhl für Bildverarbeitung (LfB), RWTH Aachen University
Kopernikusstr. 16
52074 Aachen
GERMANY
Applicants are invited to submit their applications via email to dorit.merhof@lfb.rwth-aachen.de. For data protection reasons, however, we recommend sending applications via mail.
RWTH is a certified family-friendly University. We support our employees in maintaining a good work-life balance with a wide range of health, advising, and prevention services, for example university sports. We also offer a comprehensive continuing education scheme and a public transportation ticket available at a significantly reduced price. RWTH is an equal opportunities employer. We therefore welcome and encourage applications from all suitably qualified candidates, particularly from groups that are underrepresented at the University. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of national or ethnic origin, sex, sexual orientation, gender identity, religion, disability or age. RWTH is strongly committed to encouraging women in their careers. Female applicants are given preference if they are equally suitable, competent, and professionally qualified, unless a fellow candidate is favored for a specific reason.
As RWTH is committed to equality of opportunity, we ask you not to include a photo in your application.
You can find information on the personal data we collect from applicants in accordance with Articles 13 and 14 of the European Union’s General Data Protection Regulation (GDPR) at http://www.rwth-aachen.de/dsgvo-information-bewerbung.