{"id":580,"date":"2022-05-23T15:25:50","date_gmt":"2022-05-23T15:25:50","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=580"},"modified":"2022-10-30T15:18:23","modified_gmt":"2022-10-30T15:18:23","slug":"16-postdoctoral-positions-at-eindhoven-university-of-technology","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/16-postdoctoral-positions-at-eindhoven-university-of-technology\/","title":{"rendered":"16 Postdoctoral Positions at Eindhoven University of Technology, Netherlands"},"content":{"rendered":"
Eindhoven University of Technology, Netherlands invites multiple online application for Postdoctoral Positions in various research areas. Candidates interested in Postdoctoral Fellowships can check the details and may apply as soon as possible.<\/span><\/p>\n Ice-binding proteins (IBPs) protect against freeze damage in polar regions by keeping the nucleation and growth of ice crystals in check. How this works exactly is not yet known. This is because we currently lack designer ice-binders to unravel and utilize the structure-function relations underlying activity. In this project you will combine computational tools for protein engineering (de novo protein design, folding) with biochemical and structural biology techniques (protein expression, structure elucidation, activity assays) to bridge this knowledge gap. You will engineer IBPs de novo. You will express and study promising designs to elucidate the relation between IBP structure, composition and function. Through collaborations within the group and (inter)nationally, you will study how your designer IBPs with optimized and customized activity interact with ice and may be exploited for cardiac regenerative medicine.<\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>05\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n Ice-binding proteins (IBPs) offer protection against freezing to sustain life at subzero temperatures in ice-laden environments. How IBPs work exactly is not yet known, but it is clear that their activity is closely related to the way in which IBPs interact with ice. Recently, we adopted sub-zero nanoscopy to study for the first time the interfacial dynamics of ice-bound IBPs at the single molecule level (see preprint for more information). These pioneering experiments offer unprecedented insight in the structure-activity relations of IBPs. In this project you will use subzero nanoscopy to study the interaction with ice of biological IBPs and (de novo) designed ice-binders at the single molecule level aiming to better understand how biological and (bio)synthetic antifreezes block ice growth, shape ice crystals, inhibit ice recrystallization and control ice nucleation. You will work in close collaboration with other group members, who design and prepare biological and (bio)synthetic IBPs and explore their application potential in cardiomyocyte preservation. Our aim is to unravel how biological and engineered ice-binders function and to customize these cryoprotectants for biomedical and other applications.<\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>05\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n <\/p>\n With the rise of deep learning (DL), our world braces for Artificial Intelligence (AI) in every edge device, creating an urgent need for Edge-AI processing hardware. Unlike existing solutions, this hardware needs to support high throughput, reliable, and secure AI processing at ultra-low power (ULP), combined with a very short time to market. With its strong position in edge solutions and open processing platforms, the EU is ideally positioned to become the leader in this edge-AI market. However, certain roadblocks keep the EU from assuming this leadership role: Edge processors need to become 100x more energy efficient; Their complexity demands automated design with 10x design-time reduction; They must be secure and reliable to gain acceptance; Finally, they should be flexible and powerful to support the rapidly evolving DL domain.<\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>05\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n Are you passionate about AI & Robotics? Are you eager to work on a cutting-edge research project that aims to increase the level of autonomy in robots that collaborate with each other and with humans? Then, this position is a great opportunity for you to professionally grow and become an expert in the highly demanded fields of AI & Robotics at the center of the Brainport region in the Netherlands. You are expected to contribute to research that aims at advancing state-of-the-art in semantic perception algorithms for visual intention prediction and robotic decision making for collaborative robots. Job Description:<\/strong> Automation and robotics technology is witnessing a shift from individual robots that can perform a specific task in known and structured environments towards collaborative robots that can interact with people and other robots to complete more diverse and complex tasks in unknown and unstructured settings. This requires robots to better understand and predict people, other robots, and their surroundings to engage in finer collaborative interactions. The capability of understanding environmental\/task content (i.e., semantic perception) and \u201creading others\u2019 minds\u201d (i.e., intention prediction) is fundamental for robots to have situational awareness and anticipate the future in order to be better prepared for performing shared tasks with others in dynamic settings. <\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>31\/05\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n We are looking for a postdoctoral candidate who will work within the new research group on Data-Driven Scientic Computing led by Olga Mula, located at CASA, the Center for Analysis, Scientic Computing and Applications of TU Eindhoven. The goal of the group is to develop algorithms mixing the strengths of physics-based PDE methods with the ones offered by data-driven machine learning approaches. Both strategies have classically been considered separately, despite that they often provide complementary descriptions of the same reality. The group will address the growing need to combine them in an optimal way, using strategies that will depend on the application. The candidate’s research project will consist in developing numerical methods for inverse problems where the goal is to recover the state of a physical system based on a limited set of noisy partial observations. The study will focus on physical phenomena that are modeled with high-dimensional PDEs involving strong advection effects. Examples of such equations can be conservation laws, transport or kinetic equations, Fokker-Planck equations, or Mean Field Game Equations. <\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>15\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n Quantum Delta NL has started a large national project in support of quantum technologies. The Catalyst-2 (CAT2) subproject concentrates on the development of quantum key distribution and “Quantum Internet” applications. The department of Mathematics and Computer Science at TU Eindhoven has one PhD vacancy and one postdoc vacancy for theoretical work in CAT2. The research will concentrate on theory related to the QKD testbed under development in Eindhoven. quantum cryptography beyond QKD, e.g. key recycling, unclonable encryption, unclonable credentials, quantum PUFs etc. The project has good opportunities for collaboration with other departments at TU Eindhoven and with other Dutch universities.<\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>19\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n So far the wireless communications have been very much mobile phone centric. The next wave in wireless technology will be about sensing the environment. There are many straightforward applications in the automotive industry, medical domain, material inspection and material characterization. One appealing application is sensing the health status of the plants. The information about plant health status contributes a lot to improve overall efficiency in agriculture, which is of vital importance to ensure food availability in the coming decades. The mission of the 4TU Plantenna project is to develop vegetation-integrated, energy harvesting, autonomous sensors that measure in-plant and environmental parameters at high resolution and low cost. Sensor information will be used to develop methods for early detection of plant-stress and environmental strain. This in-turn will enable optimizing water and nutrient application schemes for climate smart agriculture, improve drought protection and support decision making for environmental protection and climate resilience. The existing systems for sensing plant health status are providing excellent performance, but are bulky and expensive, making them inconvenient for massive deployment. We at Eindhoven University of Technology strongly believe in miniaturization and cost reduction as well as in massive deployment while providing sufficient performance and user friendliness. <\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>12\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n We are looking for a highly creative and motivated postdoctoral candidate to join Mechanics of Materials section at Eindhoven University of Technology (TU\/e). The position is in the group of prof. Marc G.D. Geers, and will be co-supervised by Ron H.J. Peerlings and Ondrej Rokos. Context. Metamaterials owe their name to unprecedented effective behavior that typically cannot be found in natural materials, such as being ultra-stiff & ultra-light, having auxetic behavior, or negative compressibility. Such behavior typically emerges from metamaterials\u2019 micro-structural morphology rather than from the properties of individual material constituents. Recent trends in metamaterial design aim at their actuation, using, e.g., discrete mechanical, pneumatic, thermal, chemical, or electromagnetic actuation. Metamaterials thus offer a significant design space, which can be exploited in numerous engineering applications such as artificial muscles, medical robotics including minimum invasive surgery, bio-implants, soft robotics, or self-folding systems.<\/span><\/span><\/p>\n Application Deadline:<\/span> <\/span><\/strong>12\/06\/2022<\/span><\/span><\/p>\n More Details<\/strong><\/span><\/a><\/p>\n <\/p>\n For the development of new materials, we need control over the structure of matter on multiple length scales to gain novel mechanical, optical or electronic functionalities. One of the most promising design strategies in materials science is the fabrication of molecular, nanoparticle and colloidal building blocks which can spontaneously self-organize into larger complex superstructures. Such new materials find increasing use in many everyday applications, ranging from electronic devices to coatings and paints, and to the food and drug industry. The reason that the full potential of these materials has not been exploited yet, is that their preparation depends sensitively on directing the self-assembly of the building blocks into the desired predesigned structures. This project aims at visualizing the relationship between building block characteristics and order\/disorder in these soft materials to understand and ultimately control the self-assembly process. In this project, you will investigate the role of shape anisotropy in colloidal building blocks and interactions on self-assembly processes. For this you will synthesize the required colloidal systems and investigate the systems with high resolution confocal laser scanning microscopy. You will develop and employ quantitative anisotropic particle tracking routines to explore nucleation and growth of superstructures and to reveal the role of orientational and translational degrees of freedom. <\/span><\/span><\/p>\n1. Postdoctoral researcher Engineered Ice-Binders<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
<\/h3>\n
2. Postdoctoral researcher Nanoscopy of Ice-Binding Proteins<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
3. Postdoc positions on Seamless design of Smart Edge Processors<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
<\/h3>\n
4. PostDoc position in Semantic Perception for Context-Aware Collaborative Robots<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
<\/h3>\n
10 Best Platforms To Create And Sell Online Courses In 2022<\/span><\/a><\/span><\/h3>\n
5. Postdoc Optimal Transport & Machine Learning Methods for Inverse Problems<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
6. Postdoc CAT-2 quantum protocols<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
Looking For More Postdoctoral Positions? Click Here<\/span><\/a><\/span><\/h3>\n
7. Postdoc on Plant sensing using RF<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
8. PD in \u201cDesign of active mechanical metamaterials &their experimental validation\u201d<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n
10 Best AI Writing Software of 2022<\/a><\/span><\/h3>\n
9. PostDoc on quantitative microscopy of anisotropic colloidal self-assembly<\/span><\/strong><\/span><\/h1>\n
Summary of Postdoctoral Fellowships:<\/span><\/strong><\/span><\/h2>\n