ERC-funded postdoc position: Machine Learning for Angstrom-Scale Technology (not available anymore)Interested in turning organic molecules into the building blocks for tomorrow’s nm-scale devices and machines? For its research towards mechanical engineering on the molecular scale (molecular electronics & machines), the department Functional Nanostructures at Surfaces (PGI-3) offers a postdoc position in the field of DescriptionIn the framework of the ERC-funded 5 year project “Controlled Mechanical Manipulation of Molecules (CM3)” a postdoc position in the field of machine learning is available at the Peter Grünberg Institute (PGI-3) of Forschungszentrum Jülich Research Center, Germany. The project goal is full conformational control over individual molecules during manipulation with a scanning probe microscope at cryogenic temperature. The molecules will be brought into otherwise inaccessible metastable conformations to study fundamental effects, and used to construct, e.g., a molecular scale electrical motor.The applicant will use machine learning techniques to analyze and structure the experimental data (forces acting during manipulation) on-line during the experiment and also a posteriori. This includes applying classical machine learning methods to classification and regression problems and to signal processing (e.g., logistic regression, kernel regression, wavelet analysis). Further details about the research project are available from Dr. Christian Wagner (c.wagner [at] fz-juelich.de). InstitutionThe project is funded by a starting grant of the European Research Council (ERC) for the project “Controlled Mechanical Manipulation of Molecules CM3”, and carried out by the Forschungszentrum Jülich (FZJ). The FZJ is one of the largest German research centers. It offers excellent opportunities for research in an international environment. Within the Jülich-Aachen Research Alliance (JARA), founded under the auspices of the German Excellence Initiative, it is closely linked to the RWTH Aachen University. Salaries are competitive (TvöD + allowance depending on the candidate's profile), and there is no teaching load. Equal opportunities are a cornerstone of our staff policy for which we have received the "TOTAL E-QUALITY" award.RequirementsThe applicant needs solid experience in the development and application of machine learning techniques and should be able to work independently in the interdisciplinary environment of a nanotechnology lab.ApplicationFor further information about the project contact Dr. Christian Wagner (c.wagner [at] fz-juelich.de). Please send your application, including the relevant documents and stating your interests, preferably via e-mail (c.wagner [at] fz-juelich.de).Christian Wagner Peter Grünberg Institut (PGI-3) Forschungszentrum Jülich 52425 Jülich Germany |
▶January 19th, 2023 MomaLab is part of the Orbital Cinema project!▶September 8th, 2022 Warmest congratulations to Taner Esat for winning the Gerhard Ertl Young Investigator Award for his outstanding work in surface science, particularly metastable standing molecules.▶April 7th, 2022 Want to make your own standing molecule? "Design Principles for Metastable Standing Molecules" Read at J. Phys. Chem. C▶October 10th, 2021 We finally knocked it down: "The stabilization potential of a standing molecule" Read at Science Advances Press release▶October 22nd, 2020 Introducing machine learning to the nanoscale: "Autonomous robotic nanofabrication with reinforcement learning" Read at Science Advances Press release▶July 2020 Our Helmholtz-AI project MomoNano (together with HZB and TU-Berlin) successfully competed for a three year funding by the Helmholtz Association.▶September 2nd, 2020 "The theory of scanning quantum dot microscopy" Read at J Phys. Cond. Mat. |