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EMPA

Jobs und Ausbildung

An unseren drei Standorten Dübendorf, St. Gallen und Thun beschäftigen wir rund 1000 Mitarbeitende aus mehr als 50 Ländern. Unsere Mitarbeitenden schätzen das dynamische, innovative Forschungsumfeld an der Empa mit multikultureller Atmosphäre und internationaler Ausstrahlung. Ausserdem profitieren sie von unserem weitverzweigten Netzwerk in Industrie und Forschung. Die Empa ist auch eine erstklassige Adresse, wenn es um Ausbildung geht; wir bilden jedes Jahr rund 200 Studierende und PraktikantInnen aus, dazu kommen mehr als 40 Lernende in verschiedensten Berufen sowie an die 200 Doktorierende. Die Empa – auf jeden Fall eine gute Wahl für Arbeit und Ausbildung.

EMPA

Überlandstrasse 129
8600Dübendorf

01.07.2020

EMPA

Scientist position in data-driven modeling and machine learning with application to building physics, built environment and energy systems

  • EMPA

  • 8600Dübendorf

  • 01.07.2020

  • Vollzeitstelle

We primarily welcome applicants with past postdoctoral experience to be hired at scientist level; however, younger applicants with an interesting profile may also be considered for hiring at post-doctoral level. We are seeking a curious, creative, critical individual committed to scientific excellence and high ethical standard. The candidate has a background in physics, applied mathematics, mechanical/civil engineering, computer science, or related fields, and blends theoretical knowledge, programming skills and physical intuition. The ideal candidate has worked in data science, machine learning and statistical learning, mastering the concepts behind the methods as well as the details of modern programming tools. She/he has acquired experience in analyzing, describing and interpreting experimental data. Previous knowledge of building, energy, or environmental related problems is an asset. Experience in developing, acquiring and managing research projects is also desirable for candidates to be hired at scientist level. Possible research areas of interest include (but are not limited to): developing ad-hoc solutions for construction, renovation and energy networks; devising diagnostic and managing tools to optimize building and network performance; developing next-generation simulation tools that integrate mechanistic and datadriven models; digitalization, smart monitoring and optimization of the information extracted from experimental data.
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01.07.2020

EMPA

Scientist position in the physics of building materials, built environment and energy systems

  • EMPA

  • 8600Dübendorf

  • 01.07.2020

  • Vollzeitstelle

We primarily welcome applicants with past postdoctoral experience to be hired at scientist level; however, younger applicants with an interesting profile may also be considered for hiring at post-doctoral level. We are seeking a curious, creative, critical individual committed to scientific excellence and high ethical standard. The candidate has a background in physics, mechanical or civil engineering, or related fields, and blends theoretical knowledge, programming skills and physical intuition. The ideal candidate has worked in fields such as porous media science, fluid and continuum mechanics (including interfacial processes), thermodynamics, scientific computing, building physics, energy storage and conversion, physics and chemistry of membranes. She/he has acquired experience in dealing with complex physicochemical processes and in modeling phenomena over multiple scales (e.g. molecular scales, pore scale, continuum scale, building and regional scales). Experience in developing, acquiring and managing research projects is also desirable for candidates to be hired at scientist level. Possible research areas of interest include (but are not limited to): multiscale and multiphysics modeling of complex processes (including coupled heat and mass transfer, reactive transport, ad-/desorption); supermaterials (materials with enhanced physicochemical properties, including nano-porous materials and nanostructures); active building envelopes with tunable properties; energy production, conversion and storage; novel computational models for building physics; membrane and bioreactors; computational fluid dynamics.
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30.06.2020

EMPA

an engineer or an intern (50%-100%) for: Data-driven and physics-based optimization of postharvest supply chains from farm to fork

  • EMPA

  • 8600Dübendorf

  • 30.06.2020

  • Teilzeitstelle 50-100%

Our laboratory. Empa’s Laboratory of Biomimetic Membranes and Textilesaims to develop materials and systems for the protection of the human body and its health. The products developed in collaboration with industry are used in the fields of occupational safety, sport, medical applications, and health-tech.Background.Optimizing postharvest cold chains of fruits and vegetables across all unit operations is of key importance to maintain fresh food quality and to reduce food losses. Temperature and the gas composition in the air are affecting decay and food quality, so they need to be controlled during precooling, refrigerated transport, and cold storage. By optimizing these environmental parameters, shelf life can be maximized. Currently, extensive monitoring is performed on the environmental conditions in food supply chains (air temperature and humidity). However, often, such sensing only covers a part of the cold chain and not the entire journey from farm to fork. Taking into account the entire journey is essential to quantify how the fresh-food quality evolves, and what the final quality and shelf life are that the retailers, and thus the consumer, receive. In addition, only simplified analyses are performed on these huge datasets. This makes that there is most probably a lot of unexplored information in the data. Objective. The key objective is to better use this sensor data to identify when and where the quality loss occurs, and how commercial cold chains can be improved, to reduce food loss.To this end, data-driven and physics-based modeling are used, among others by integration into digital twins.This project is performed in collaboration with a Swiss retailer. In this project, you will be able to improve future supply chains of fruits and vegetables in order to reduce the environmental impact of the food we consume.Your tasks:Organize experiments in commercial cold chains, process the measured sensor data statistically, reformat data in databases, and analyze data for variability.Analyze the data with statistical techniques (e.g. PCA, Monte Carlo) to identify critical problem locations in the cold chain. As a next step, more advanced data-driven techniques, such as machine learning, can be explored.Use this data to build up and use physics-based and/or data-driven digital twinsPropose solutions to improve the shelf life and reduce food losses and test these solutions in the field by full-scale trails.Support other physics-based and data-driven projects in the lab and set up a framework for quality assurance in modeling & simulationSupport in the organization of modeling and simulation events.The work will be performed at the facilities of Empa (St. Gallen). Regular visits to the facilities of the Swiss retailer company are likely to be required.
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30.06.2020

EMPA

PhD student on cellulose biohybrid materials

  • EMPA

  • 8600Dübendorf

  • 30.06.2020

  • Vollzeitstelle

We invites applications for a PhD student position on the self-assembly of nanocellulose and fungal proteins into functional cellulose biohybrid materials. Together with our team of experienced scientists, you will contribute to the development of the next generation of sustainable biocomposite materials. This project bridges our activities in the fields of nanocelluloses and applied fungal biotechnology. The goal of the project is to investigate, at a fundamental level, the mode of interaction of nanocelluloses and fungal protein aggregates and use this knowledge to tune their mutual co-assembly. We envision that the generated knowledge will lead to the discovery of novel functional material formulations (e.g. films, functionalized aerogels, foams and emulsions) that could have biomedical (e.g. antimicrobial coatings, drug delivery) or food science applications (e.g. stable foams/emulsions). Your challengesExtract and characterize proteins from different fungal strains. Develop protein aggregation protocols and investigate the physical and structural properties of the formed aggregates. Study the combined self-assembly of nanocelluloses and extracted fungal proteins at interfaces and in bulk. Characterize self-assembled materials using state-of-the art techniques.Investigate the possibility to express engineered forms of fungal strains for material science applications.Publish in peer-reviewed high-impact factor journals and present at international conferences.
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29.06.2020

EMPA

Postdoc position on Hydroborate-based all-solid-state batteries

  • EMPA

  • 8600Dübendorf

  • 29.06.2020

  • Vollzeitstelle

The research project focuses on the development of hydroborate-based all solid-state batteries using metal anodes. Your task is to investigate the anode-electrolyte interface, to investigate the (electro-)chemical compatibility between hydroborates and alkali metals, to identify and mitigate failure mechanisms and to establish conditions for stable cycling, aiming at improved power density and prolonged cycle life.You will design, conduct and analyse scientific experiments in an international and interdisciplinary environment in collaboration with other academic partners. In addition, you will be involved in writing scientific publications, presenting results at national and international scientific meetings. Within this project, the ability to publish is not restricted. Generation of intellectual property in the form of patents is encouraged.Our labs are fully equipped for electrolyte development and testing. State-of-the-art facilities include synthesis labs with fume hoods, Schlenk lines, rotary evaporator, temperature-dependent viscosity, conductivity, and density analysis, thermal analysis (TGA, DSC), Raman and FTIR spectrometers, glove-boxes, facilities to assemble coin cells, Swagelok cells as well as small pouch cells, electrochemical characterization including battery cyclers (Arbin, Bio-Logic), impedance spectroscopy (Bio-Logic, Novocontrol), X-ray diffractometers (including operando cells) etc. Access to NMR (including PFG-NMR), elemental analysis (CHN, ICP-OES), advanced electron microscopy facilities (SEM, TEM) and surface analytical tools (XPS, ToF-SIMS) is also available.
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