Early Stage Researchers (PhD students or PostDocs) (m/f/d) in Hannover

Jobbeschreibung

The Physikalisch-Technische Bundesanstalt (PTB) is the National Metrology Institute of the Federal Republic of Germany with scientific and technical service tasks. It furthers progress and reliability in metrology for society, the economy and science. Artificial Intelligence (AI) is growing into the health sector where increasing implementation of AI in various medical settings will have a major impact on patient care: AI-enabled tools offer the attractive prospect of enabling healthcare professionals to find solutions for complex problems in a time-efficient manner. AI systems do entail economic and social benefits, but they also bear risks. The PTB is working towards minimising these risks by providing a sound basis for trustworthy AI systems. To reinforce our interdisciplinary team in AI research for the duration of 3 years starting by 1 June 2021, we are looking for: 10 Early Stage Researchers (PhD students or PostDocs) specializing in explainability, robustness and uncertainty of AI systems in medicine Remuneration group 13 TVöD Bund (100% for postdocs, 85% for PhD students) Employment will be either in Braunschweig [BS] or in Berlin [B], depending on the particular project. Towards standardized quality control for artificial intelligence systems in critical care [B] Machine learning and uncertainty quantification for bioelectromagnetic inverse solutions and signal separation methods [B] Advancing the theory and practice of machine learning model explanations in biomedicine [B] Invertible neural networks for resolving the hemodynamic inverse problem [B] Robust machine learning-based quantitative magnetic resonance imaging [B] Active learning using Fisher information [B] Uncertainty in deep learning versus conventional statistics [B] Artificial intelligence and metabolite markers in diagnosis and prognosis of Parkinson’s disease [BS] Artificial intelligence-based image enhancement for reduced radiation exposure in computed tomography imaging [BS] Deep learning-based dosimetry in medical x-ray imaging [BS] Uncertainty of artificial intelligence-based dose prediction compared to Monte Carlo methods [B] Incorporation of spatial regularization and uncertainty estimations into magnetic-resonance parametric mapping [B] Accelerating radiation transport simulations in radiation medicine by machine learning [B] You will perform your research as part of our interdisciplinary team and linked to partners from academia within a framework program (curriculum in English) that fosters interdisciplinary exchange and pooling of knowledge. We are looking for highly motivated, inquisitive, enthusiastic, and resultoriented candidates with an excellent academic record who hold a master‘s degree with a grade above average in a relevant scientific discipline as identified in the project descriptions have prior research experience in a field relevant for the respective project (if applying for a postdoc position) work well-structured independently as well as in a team have excellent communication skills in spoken and written English are apt to write and present scientific papers are willing to travel between the sites of PTB and to other locations in Germany and abroad are eligible for a work permit for Germany A one-week summer school for cross-project familiarization with the overarching topic Intensive PhD supervision by an interdisciplinary team Excellent national and international connections A position at one of the world’s leading research institutions with an excellent infrastructure Remuneration in accordance with the collective bargaining agreement for the public service (at the federal level) including special annual payments and capital forming benefits

Extra Informationen

Status

Inaktiv

Ausbildungsniveau

Andere

Standort

Hannover

Arbeitsstunden pro Woche

4 - 40

Jobart

Teilzeitjob

Tätigkeitsbereich

Administration / Verwaltung

Führerschein erforderlich?

Nein

Auto erforderlich?

Nein

Motivationsschreiben erforderlich?

Nein

Sprachkenntnisse

Deutsch