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Artificial intelligence & Data intelligence

Outline Runtime Assertion Checking

Our team develops Frama-C ( http://frama-c.com ), a code analysis platform for C programs which provides several analyzers as plug-ins. Frama-C itself is developed in OCaml . Frama-C allows the user to annotate C programs with formal specifications written in the ACSL specification language. Fram...

Cyber security : hardware and sofware

embedded elapsed-time attestation

The security objectives of connected objects are usually Confidentiality, Integrity and Authentication (CIA). However, guaranteeing these objectives does not prevent changing the order of events or the elapsed time between two events. To meet these new security needs and ensure the security of an...

Communication networks, IOT, radiofrequencies and antennas

Power-efficient transceivers for 6G cell free massive MIMO networks

Cell-free massive multiple-input multiple-output (CF-mMIMO) is a key technology of the forthcoming 6th generation of wireless networks (6G) representing an alternative network infrastructure and being the most ultimate enabler of energy-efficiency (EE) and spectral-efficiency (SE). In CF-mMIMO, t...

Factory of the future incl. robotics and non destructive testing

Sensor Networks and Digital Twins for Mechatronic Systems Co-design

As part of the development of its R&D activities on sensor networks and digital twins, the Autonomy and Sensor Integration Laboratory (DSYS/SSCE/LAIC) of CEA-LETI in Grenoble, France, is offering a thesis on "Sensor Networks and Digital Twins for the Co-design of Mechatronic Systems". The LAIC la...

Green and decarbonated energy incl. bioprocesses and waste valorization

Culture of microlagae on industrial exhaust fumes

Photosynthetic microalgae and cyanobacteria have the advantage of being able to transform CO2 into a valuable biomass. They are potentially able to capture and reuse industrial CO2 emissions and therefore mitigate their environmental impact. This use of CO2 of industrial origin in a strategy of b...

Communication networks, IOT, radiofrequencies and antennas

Near-field focusing techniques in inhomogenous media at millimiter wave

In a huge number of applications such as wireless power transfer (WPT), microwave imaging, industrial control, etc., it is required to collimate, form or focus the electromagnetic radiation in a specific region of the space. Sometimes, this region could be located in the near-field region of the ...

Artificial intelligence & Data intelligence

Mobility aware communication, computation and caching-based resource allocation for MEC

Low-latency, ultra-reliable and energy efficient MEC support is a fundamental pillar for 5G and future 6G networks. Nevertheless, optimal and reliable joint Communication, Computation and Caching (C3) resource allocation over time and space is still a challenging and open topic of research. Objec...

Advanced nano characterization

Large scale parametric characterization, variability study and tests of quantum devices at cryogenic temperatures

Context: A natural way to address the scalability of quantum devices is to design and realise arrays of individual quantum objects with nearest-neighbor interaction. In large-scale semiconductor quantum processors, a quantum bit is encoded in the spin of an isolated electron, trapped in an array ...

New computing paradigms, circuits and technologies, incl. quantum

PhD thesis- 3D Superconducting Interconnects for Quantum Applications

As part of Quantum Silicon Grenoble project, teams at CEA-LETI, CEA-IRIG and Néel Institute aim at building a quantum accelerator with silicon spin quantum bits (qubits). Compatible with large-scale production, existing integration processes on Si are a real advantage for the scalability of these...

Communication networks, IOT, radiofrequencies and antennas

Cooperative and heterogeneous multi-agent learning for 6G network orchestration

In beyond 5G/6G networks , it is imperative to easily deploy and manage a private/ad-hoc network of mobile users such as a fleet of vehicles or drones. The objective of this thesis is to define strategies and associated protocols (control and resource allocation) to self-organize "mesh" networks ...

Cyber security : hardware and sofware

Differently supervised deep learning methods for side-channel attacks

Secure components exploiting embedded cryptographic mechanisms, for instance smart cards, may be vulnerable to the side-channel attacks. Such attacks are based onto the observation of some physical features measured during the device activity, such as power consumption, electromagnetic irradiatio...

Cyber physical systems - sensors and actuators

Analyzing Interference Effects on Timing Predictability of Many-Core Architectures

An increasing number of safety-critical systems such as autonomous vehicles, aircraft flight control and medical devices are controlled by many-core processors interacting in real-time with their environment. Since the consequences of failure of such systems can lead to substantial damage, it is ...

Emerging materials and processes for nanotechnologies and microelectronics

Electrical tuning of MEMS dynamics

The Phd objective is to explore electromechanical tuning techniques dynamically to modulate the resonant frequency and quality factor of electrically-coupled MEMS devices.

Artificial intelligence & Data intelligence

Ultra Low Power and High Performance Microphone Signal Processing for Speaker Localization and Auditory Attention Detection : Application to Next Generation Hearing Aids

Located on the MINATEC campus in Grenoble, CEA-Leti's main mission is to create innovation and transfer it to industry by generating research results that will be used in industry in the medium and long term, positioning its research between academic research and industrial R&D. Within LETI Syste...

Cyber security : hardware and sofware

Secured and optimized HW/SW Implementation of Agile Post-Quantum Cryptography based on lattices and codes

Post-quantum cryptography is booming. This is due to quantum computer advances and to the NIST's initiative aiming at defining the first standards of post-quantum primitives by 2024. This new cryptography involves a scientific and industrial transition of the now wide cybersecurity ecosystem. Cry...

Artificial intelligence & Data intelligence

Tactile-based learning and classification methods for task planning and verification ? applications to multi-digital and bimanual robotic manipulation

The robotic manipulation of objects first of all requires a grasp planning of these objects, which is a function of the characteristic parameters of the considered hardware tools and the task to be performed (such as the accessibility areas or the level and direction of the efforts that may be in...

New computing paradigms, circuits and technologies, incl. quantum

Design of an Improved Memory System for Sparse Data Sets

The performance of the processors used in scientific computing and for machine learning applications continues to improve. One of the primary techniques for achieving performance consists of exploiting parallelism; however, this approach works well only when the data is regular. Many real-world ...

Artificial intelligence & Data intelligence

Simplifying Artificial Intelligence: learning interpretable representation

The artificial intelligence field is dominated today, in volume, by research on deep neural networks (DNN). Indeed, about a decade ago, they seemed to significantly improve on problems deemed as difficult, such as computer vision issues. Since then, DNN are generating enthusiasm and hopes. Yet, e...

New computing paradigms, circuits and technologies, incl. quantum

Self-adapting and reliable interconnect network for AI architectures

Deep learning algorithms, such as Convolutional Neural Networks (CNN), are used for many applications as image recognition and/or classification. CNN are made up of several layers that generate significant movements of data. Many works have proposed architectures dedicated to the inference of CNN...

Artificial intelligence & Data intelligence

A Multi-Task Neural Network for Real Time Object Detection and Tracking on Embedded Systems

The proposed thesis addresses the perception in the embedded environment, in particular multi-class (people, cars, cyclists...) detection and tracking in real time. Object tracking is one of the key issues due to its wide scope of applications involving autonomous vehicles, robot navigation, medi...

Emerging materials and processes for nanotechnologies and microelectronics

High-performance and low-power ferroelectric memory for artificial intelligence applications using in-memory computing

So-called "ferroelectric" memories, or FeRAM (Ferroelectric Random Access Memories), are currently emerging as a promising alternative to replace fast-access (<1µs) non-volatile memories, necessary in all computing architectures, particularly those using Flash or MRAM / RRAM. Unlike existing memo...

Cyber security : hardware and sofware

Optimized and efficient transciphering with homomorphic encryption

In the context of applications directly using encrypted data (Fully Homomorphic Encryption or FHE), Transciphering allows to workaround the large expansion of the size of FHE encrypted data, thanks to the use of symmetric cryptography. Transciphering is a recryption technique that delegates the e...

Artificial intelligence & Data intelligence

Quantified DNN learning algorithms with limited hardware overhead for Edge implementation

Intelligence at the Edge aims to push the computation performed on the data to the edge for energy and security reasons. This results in the implementation of co-optimized hardware for the inference of artificial neural networks (ANN) of varying depths (DNN) and aims at a calculation as close as ...

Cyber security : hardware and sofware

Make FHE Great Again: A valid security solution need integrity

Homomorphic encryption is a cryptographic technique allowing to perform computation directly over encrypted data, without having access to the clear data. Nowadays, the homomorphic encryption is one of the most powerful way of ensuring data confidentiality when externalising the computation to a ...

Health and environment technologies, medical devices

Digital patterns of the forearm cardiovascular system

The laboratory for systems in close proximity to the person (LS2P) develops wearable devices for the monitoring of the physiological parameters such as the cardiac rhythm, the oxygen saturation of the tissue or the arterial pressure. High integration constraints are applied in the early design ph...

Artificial intelligence & Data intelligence

Low-power AI for uncertainty modelling

Models of AI, notably deep neural networks, are increasingly incorporated into practical systems in a diverse set of domains. In some of these domains, autonomous vehicles and wearable medical devices for example, these models are responsible for taking safety-critical decisions. However, the mod...

Emerging materials and processes for nanotechnologies and microelectronics

Plasma / surface interaction sutdy for innovative wafer bonding processes

For microelectronics industry, SOI (Silicon on Insulator) structure elaboration for the new generation of integrated circuits fabrication relies on wafer bonding by molecular adherence technology. It is based on direct bonding between two surfaces thanks to plasma activation. In the Ph.D.'s frame...

Artificial intelligence & Data intelligence

Co-design HW/SW for on-chip incremental learning

Current deep learning algorithms suffer, on the one hand from catastrophic forgetting preventing incremental learning, and on the other hand when implemented on silicon, limiting embedded applications especially when learning needs to be performed. This thesis subject therefore proposes to explor...

Advanced nano characterization

Overlay measurements for advanced technologies

Overlay (OVL) is one of the key parameters to be monitored during the microelectronic components fabrications. Currently, this parameter is monitored by imaging techniques or by scatterometry. For the most advanced technologies - CMOS10nm and beyond - these techniques, although accurate (<0.4nm i...

Communication networks, IOT, radiofrequencies and antennas

Study and realization of a multi-antenna system at 13.56 MHz for the location of connected objects

In recent years, connected objects have been experiencing a new boom with the arrival of NFC technologies on mobile phones. The query of the object (tag, map, etc.) is usually done in the immediate vicinity or in contact with the terminal. We propose in this thesis to design an extended connecte...

Photonics, Imaging and displays

Optimization of a spectral X-Ray detector for CT-scan medical applications

Among medical imaging systems, CT scanners (Computed Tomography scanners) take "sectional" images of the human body, allowing a 3D reconstruction of the concerned body parts (skeleton, heart, lung, etc.) and leading to an improved medical diagnosis. Recently, CT scanners have entered a new era t...

Photonics, Imaging and displays

Development of new blue emitting organic molecule based on the hyperfluorescence

The focus today is on high luminance of the microdisplays to meet the requests for AR/VR application. The performance of current OLEDs, in terms of luminance and lifetime, especially for blue, have great difficulty in meeting these high luminance specdifications. Improvements in the efficiency an...

Emerging materials and processes for nanotechnologies and microelectronics

Impact of InGaN quantum wells design and composition on the performance of micro-LEDs

The growth and fabrication of InGaN/GaN blue LEDs have reached a high degree of maturity thanks to their extensive use in the field of lighting. Thanks to their robustness and high efficiency, these LEDs are seen as promising candidates to make high-luminance and high resolution micro-displays fo...

New computing paradigms, circuits and technologies, incl. quantum

Hyperdimensionnal computing for biosignal-based gesture recognition

In this work, we propose to study a new paradigm of computation, which is called ?hyperdimensional computing? (HDC). During the last years, brain-inspired hyperdimensional computing, based on the use of hypervectors, has demonstrated promising results in various domains including language classif...

New computing paradigms, circuits and technologies, incl. quantum

Pixel wise coded aperture for new acquisition paradigms in CMOS Image Sensors based on active illumination

Active illumination combined with image sensors bring the opportunity to extract a large amount of features about the observed scene that are generally not reachable to standard image acquisition approaches. This modality is now largely spread in industrial computer vision, consumer electronics a...

Advanced nano characterization

Advanced carrier recombination characterization for AlGaN/GaN HEMT, stack understanding from epitaxy to etching

To penetrate into the power electronics market, the main challenges for GaN remains the development of a reliable normally-off HEMT solution. CEA-LETI has chosen to develop recessed hybrid MISHEMT, fabricating normally-off devices which give functionality similar to a classic silicon based MOS. S...

Emerging materials and processes for nanotechnologies and microelectronics

Influence of the physical properties of materials on their fracture mechanism

One of the laboratory's main activities concerns the development of Smart-CutTM technology, in partnership with the company SOITEC. Smart-CutTM technology is an original thin film transfer technique. It is based on the implantation of light ions, the molecular bonding of the implanted substrate o...

Artificial intelligence & Data intelligence

Low-Temperature Characteristics of merging memory technologies for CMOS co-optimization and/or in-memory computing applications

A new technological development consists in using CMOS at cryogenic temperatures after discovering that their performances highly improve. Possible applications are aerospace, high performance servers, quantum computing and data centers. Meanwhile, many emerging memory technologies were proposed ...

Emerging materials and processes for nanotechnologies and microelectronics

DNA based patterning for memories

In nanotechnology in general and semiconductor industry in particular, there is an ever increasing need for smaller and more complex features at an ever lower cost. Some examples of applications are sub-10 nm features for creation of FinFETs, lateral (horizontal) and vertical gate-all around nano...

Emerging materials and processes for nanotechnologies and microelectronics

Cryo back-end of line for quantum application

Spin and superconducting Qbits require the development of short-distance metallic routing compatible with low temperature (below TC transition) and high frequency operations. This integration usually named Back-end of line connects devices (Qbit, resonator?) or cells (chip to chip). Nowadays, sup...

Electrochemical energy storage incl. batteries for energy transition

Advanced modelling of deteriorating phenomena in solid state Li-ions batteries

In the last few years, Li-ions batteries have become the leading world battery technology, overwhelming the older Cadmium-Nickel and Alkaline technologies. Their large massic energy capacities make them very good candidates for energy supply in current and future all-electric vehicles. Despite ...

Emerging materials and processes for nanotechnologies and microelectronics

Architecture of vertical GaN power devices by epitaxy on foreign substrates

Gallium Nitride- (GaN-) based power devices are having an increasing success due to their electrical characteristics that allow to improve the efficiency and reduce the size of power converters. Vertical GaN devices have a reduced chip size with respect to lateral devices (e.g. HEMTs) but are ty...

Artificial intelligence & Data intelligence

Machine learning for improving formal verification of code

Frama-C, developed in our laboratory, is a C program analysis platform that provides several collaborative analyzers in the form of plug-ins. Frama-C allows the user to annotate C programs with formal specifications written in the ACSL language and to combine its analyzers to verify them, in part...

Emerging materials and processes for nanotechnologies and microelectronics

ALD-based ferroelectric materials for emerging non volatile memories

CEA-LETI is a major player in the field of ultra-low consumption FeRAM memories for IoT and IA applications. The introduction of HfO2-based ultrathin ferroelectric layers with several dopants (Si, Zr, Al, allowing stabilization of the orthorhombic, ferroelectric phase) is fundamental for the opti...

Health and environment technologies, medical devices

Digital Methods for EEG-fNIRS BioMarkers of Bipolar Disorders

Bipolar disorder is a chronic adult psychiatric condition affecting between 0.5 and 1% of the population, with many unmet medical needs in terms of treatment. One of the key issues is earlier diagnosis for a better management of the pathology. In this context, the Laboratory of Systems for the Pe...

Emerging materials and processes for nanotechnologies and microelectronics

3D micro-fabrication process modeling for optical application

The realization of 3D micro-structures is needed to build key functional microelectronics elements such as micro-lenses for optical imagers. These lenses can be done in particular by resist reflow or grey levels (grayscale) lithography. Grayscale lithography has the advantage of building structur...

Energy efficiency for smart buildings, electrical mobility and industrial processes

Understanding and modeling of mass and heat transfer mechanisms in absorption cycles

Nowadays, the needs for air conditioning are on the rise: 10% of electricity worldwide would be used for air conditioning and this consumption is likely to triple by 2050. The absorption chiller is an effective solution to reduce electricity consumption by valorizing renewable or waste heat sour...

Advanced hydrogen and fuel-cells solutions for energy transition

New mesoporous carbon support for durable PEMFC

In a context of accelerating developments associated with the PEMFC fuel cell for the decarbonation of mobility, the identified barriers that are the cost and durability of systems remain to be lifted. To do this, active research is carried out on active materials and in particular on platinum ca...

Emerging materials and processes for nanotechnologies and microelectronics

Catalysis effect in direct bonding mecanisme

The aim of this study is to study in detail the impact of the intentional addition of specific molecules at the bonding interface such as amino alcohol or strong bases. Their implementation with interfaces of different materials will make it possible to specify all the bonding mechanisms of said ...

Energy efficiency for smart buildings, electrical mobility and industrial processes

Battery cell thermal runaway simulation and modelling for propagation studies at the module and packs scales.

The safety of battery packs used in electric vehicles is a major issue in a context of electric mobility development, particularly in the automotive and aeronautical sectors. In this context, CEA/LITEN is conducting thermal runaway tests on battery cells and possible propagation to neighbouring c...

Advanced nano characterization

Deep learning for multi-modal and multi-resolution electron tomography reconstructions

With recent advances in instrumentation and numerical methods for inverse problems, electron tomography is becoming a key 3D characterization tool capable of addressing current challenges of miniaturisation of microelectronic devices. With ultra-fast spectrometers for electron energy loss sp...

Communication networks, IOT, radiofrequencies and antennas

Design of THz sources in CMOS and BiCMOS advanced technologies

Within the frame of our research activity on circuit design for (high frequency) high speed wireless communication systems, we aim to explore sub-millimeter wave frequency bands. Based on a strong background in mmW and RF IC up to Gbps, as well as circuits for sub-THz imaging, we want to investig...

Electrochemical energy storage incl. batteries for energy transition

Stabilization of Li-ion cathode materials for high energy applications

Currently, the cathode materials used for high energy applications, such as the electric mobility, are the so called Ni-Rich NMCs, LiNixMnyCozO2 avec x+y+z=1 and x>0.5. This composition containing a lot of Ni and Co made them very expensive. Only few alternatives exist, so called Mn-Rich material...

New computing paradigms, circuits and technologies, incl. quantum

Micro-compilation for Ternary Neural Network on an In-Memory Computing architecture

Edge Artificial Intelligence and low-level Computer Vision is now massively deployed at the near-sensor level in order to further extend the capabilities of smart embedded imaging systems. Recent advances in Deep Learning show that low-precision neural networks (whose weights and activations are ...

Photonics, Imaging and displays

Study of sidewall physical mechanisms involved in GaN µ-LEDs performance

In the Optics and Photonics division of CEA-LETI, The Emissive Components Laboratory designs and fabricates micro-displays based on GaN micro-LEDs. One of the major issue of GaN µ-LEDs is the decrease of their efficiency with the size reduction. In literature, this degradation is attributed to SR...

Smart Energy grids

Multi-level optimization and Cloud - Edge management of optimal control processes in power systems

Operate and optimize power grids requires decisions to be made on two levels: the transmission network at the top (Cloud), the point of production/consumption at the bottom. It requires that a lot of information flows between these two layers. In this thesis we want to study the impact of an inte...

New computing paradigms, circuits and technologies, incl. quantum

Simulation of digital systems containing an quantum accelerator

There is a huge media hype about quantum computers, but we are still far from having a quantum computer available. There are software simulators, limited in the number of QuBits that can be emulated, and experiments with a few QuBits available online. Nevertheless, we know that the final mach...

Health and environment technologies, medical devices

Neural decoder for a Brain Spine neuroprosthesis for restoration of disabled subjects' upper-limb movement during daily life tasks

The thesis will be carried out at CEA/LETI/CLINATEC, in collaboration with EPFL (Lausanne, Switzerland) within the frame of multidisciplinary program Brain-Computer Interface (BCI). The program goal is to explore novel solutions for functional rehabilitation and/or compensation for people with se...

Artificial intelligence & Data intelligence

Ultrasonic predictive maintenance

As part of the development of its research activities on sensor networks and predictive maintenance, the Autonomy and Sensor Integration Laboratory (DSYS/SSCE/LAIC) of CEA-LETI in Grenoble, France, is offering a thesis on "Ultrasound-based predictive maintenance". Ultrasound emission is one of th...

Health and environment technologies, medical devices

Neural graph network for cellular interaction analysis

The understanding of a cell culture requires the analysis of the cells but also more specifically the study of their interactions. Cells are constantly interacting with each other. It is these interactions that we must examine to understand the cell population as a whole. To date, digital micros...

Energy efficiency for smart buildings, electrical mobility and industrial processes

VHF voltage regulated converter incorporating innovative passive components

The aim of the thesis is to develop a very high frequency voltage regulated converter (> 10 MHz) and exploiting innovative passive components. The increase in frequency allows the use of smaller passive components in value, size and weight. Indeed, the higher the frequency is, the lower the energ...

Factory of the future incl. robotics and non destructive testing

Simulation-assisted imaging for SHM by elastic guided waves: tomography and shape derivative

Structural health monitoring (SHM) consists of monitoring the health of a structure using integrated sensors. In this context, the LIST is working on innovative elastic guided wave tomography methods to image corroded areas on simple geometries: plates and pipes. The subject of the thesis is to ...

Numerical simulation

Neural networks for hyperelastic model reduction in dynamics for virtual reality

The proposal consists in developing AI methods to train neural networks to learn the dynamics of hyperelastic solids. The aim is to reduce drastically computation time. The first step will consist in getting well versed with the governing equations of hyperelastic dynamic systems, and with sta...

Factory of the future incl. robotics and non destructive testing

Nonlinear vibro-acoustic inspection and localization of precursor damage in composite aeronautic structures

For safety reasons, aeronautic composite structures are monitored throughout their life. In particular, they undergo fatigue or impacts likely to generate damages which, if not diagnosed in time, can lead to failure. As a complement to imaging algorithms exploiting guided ultrasonic waves that in...

Health and environment technologies, medical devices

Development of integrated micro-electro-apta-sensors into a diabetes organoid-on-a-chip device.

Type 2 diabetes is a serious metabolic disease and a better understanding of the mechanisms involved represents a major public health issue. In both diabetic and obese individuals, adipose tissue cells exhibit insulin resistance and chronic low-grade inflammation, the mechanisms of which are not ...

Cyber security : hardware and sofware

Environmental footprint of structure monitoring

The health of structures (wind turbines, bridges, power plants, aircraft, etc.) is essential to their operation and safety. This is why maintenance operations include regular inspections, leading to repairs or replacements. These operations have a cost, not only economical, but also environmental...

Green and decarbonated energy incl. bioprocesses and waste valorization

Catalytic hydrothermal gasification of model compounds of biomasses and wastes

Hydrogen and methane production from biomasses and wastes is a hot topic that has attracted great interest in the energy transition in the recent years. Hydrothermal gasification (HTG) is a thermochemical process which employs the supercritical conditions of water (T > 374 ° C, P > 221 bar), in o...

Photonics, Imaging and displays

New "laser chip - photonic circuit" coupling strategies for sensor and LIDAR applications

The development of silicon photonics technology has made it possible to the integrate numerous photonic functions on the same chip, as close as possible to electronic functions, allowing the miniaturization of components in the fields of datacom, telecom and optical sensors. However, optical comm...

Photonics, Imaging and displays

III-V on Silicon transceivers based on selective area growth for advanced modulation formats

Context: Optical communications are commonly used to answer the growing needs in data exchanges for personal and professional usage through fiber optics communication up to the datacenters where user information is processed and stored, as well as for next gen 4.0 industries where interconnects s...

Smart Energy grids

Parametric reduction approaches for MPC-type control of innovative decarbonized energy production systems

In a context of massive decarbonisation, the growing complexity of energy production systems makes advanced management and control issues crucial. The fine control of these systems, ensuring optimality and robustness, is also a central ingredient for the implementation of the flexibility of the p...

Cyber security : hardware and sofware

Dependable Smart Contracts: Languages and Methodologies for Trusted Programming in the Blockchain

Smart contracts have become the new paradigm for the development of trusted and decentralized services, which span over a multitude of domains of activity. The Ethereum blockchain has become the most widespread platform for smart contracts, despite the fact that it presents a number of vulnerabil...

Photonics, Imaging and displays

Photonics Integrated Circuits based on Optical Frequency Combs

Optical frequency comb (OFC) generation has been widely studied in the past decades mainly for timing and clocks as well as for spectrometry. However, the possibility to generate OFC on chip with low power consumption is opening new fields of application such as telecommunication, LIDAR, sensing,...

New computing paradigms, circuits and technologies, incl. quantum

Towards on-chip quantum photonics for quantum information protocols

Using quantum resources for storing and processing information has become a tremendous topic in quantum technologies. Among many strategies (superconducting junctions, ions, atoms, NV centers?), photons offer several strong advantages with a long coherence time and benefits from long-standing res...

Green and decarbonated energy incl. bioprocesses and waste valorization

Batteries Lithium recovery using an Electrochemical Ion-Pumping Process

The use of lithium has increased dramatically in recent years due to the explosion of the lithium ion battery market. Future European regulation will lead to lithium recovery, so far not included in recycling processes. That's why today, a selective technology to generate a low cost, low environm...

Additive manufacturing, new routes for saving materials

Study of the relationship between microstructure and properties of 3D-printed NdFeB magnets

NdFeB magnets are crucial components for the energy transition, and their demand is likely to grow considerably in the next years. Because it provides freedom of shape, additive manufacturing is seen as a possible way to reduce the magnets' volume in systems, and therefore to reduce the strategic...

Photonics, Imaging and displays

Development of deterministic single photon sources integrated on silicon for quantum information

We have lived through a first quantum revolution during the XXth century thanks to the invention of currently widespread components such as transistors and lasers, both based on the quantification of energy levels. Today, a second quantum revolution is underway in the field of communications, com...

Factory of the future incl. robotics and non destructive testing

Development of an IR photoacoustic sensor for fluidic and microfluidc applications

The LCO (?'Laboratoire des Capteurs Optiques'', standing for Optical Sensors Laboratory) develops both mid infrared (MIR) to visible Silicon integrated photonic components, and innovative sensors. Starting from upstream research down to industrial transfers, those sensors get to find environmenta...

Energy efficiency for smart buildings, electrical mobility and industrial processes

Propagation of uncertainties on a digital twin of a multi-energy system based on multi-physical models

In the context of the acceleration of hydrogen deployment and its use in complex systems, This thesis topic will allow to advance the international community on the impact of uncertainties on the steering and control laws of digital twins of hybrid systems built with multi-physical fuel cell and ...

Solar energy for energy transition

Study of perovskite materials growth by close space sublimation

This thesis aims at studying the growth mechanisms and the characterization of perovskite materials deposited by close-space sublimation (CSS). This innovative deposition method, recently developed at CEA for this material, allows synthesizing layers to build new devices with improved performance...

Factory of the future incl. robotics and non destructive testing

Dexterous gesture analysis methodology ? Applications in Virtual Reality, haptics and robotics

Virtual Reality based digital twins have become a reference tool for the design of new products and systems. The allow an early detection and correction of errors thanks to the real time and immersive simulation of their production, assembly and use, hence reduced development time and costs. Beyo...

Smart Energy grids

Smart control and management strategies for flexibility of electricity systems - Validation by real-time simulation

In the context of the energy transition, flexibility plays an important role in optimizing the supply of energy, for maintaining the balance, stability and operational reliability of the electricity system, and for integrating a growing share of renewable energies in the grid. Several works have...

Solar energy for energy transition

Passivation strategies for improving the performance and stability of tandem silicon/perovskite solar cells

Hybrid organic-inorganic perovskites (HOIPs) have become one of the most promising photovoltaic technologies in the last decade, paving the way for the development of efficient and cost-effective solar panels. Presently, the certified record efficiency obtained for laboratory scale, single-juncti...

Energy efficiency for smart buildings, electrical mobility and industrial processes

Management of electrical vehicles loading as flexibility vector for the grid

The European Commission plans to ban the marketing of new combustion engine vehicles from 2035. This decision will accelerate the growth of 100% electric vehicles (EVs), which have already accounted for 9% of new car sales in France in the first 3 quarters of 2021. This growth will have to be acc...

Solar energy for energy transition

Silicon solar cells and modules for space environments: understanding degradation mechanisms and performance optimization

Historically, silicon solar technologies have fueled the development of space activities. From the 1990s solar photovoltaic generators gradually adopted the more performant III-V multi-junction cells. However the current low cost trend in space sector and the considerable progresses made by silic...

Energy efficiency for smart buildings, electrical mobility and industrial processes

Multi-objective optimization for the Eco-Design of energy systems: Application to Hydrogen technologies.

The subject falls within the context of the optimization of the sizing and management of energy systems. The PERSEE optimization tool developed at CEA, applied to many projects, is based on a MILP (Mixed-integer linear programming) formalism and on an economic objective function. However, other d...

Smart Energy grids

10-40kV synthesized switches based on 1.2 to 3.3 kV existing switches for medium voltage / high power applications

In the majority of current high-power PV plants, DC-AC converters are used to inject on a 50Hz three-phase AC network under 320 to 800 V from the usual level of 1500 VDC on PV strings, before using 50Hz transformers to inject to the 50Hz-20kV AC grid. This approach imposes a very large current on...

Smart Energy grids

Participation in the grid stability of generation assets and loads interfaced by converters

With the development of renewable energies, storage systems, electric vehicles and hydrogen production, the stability of the electricity network will no longer be guaranteed as long as the usual control methods are retained. The objective of the thesis is to propose controls at the level of each...

Photonics, Imaging and displays

Evaluation of the interaction between waveguides and holograms for the development of directional emitters for Augmented Reality applications

The field of Augmented Reality is an active area of research for several years. This field is expected to offer new possibilities for the interaction between users and mobile devices. Among the various technologies investigated worldwide by the academic and industrial teams, holography is of part...

Photonics, Imaging and displays

Design and integration of hybrid IIIV/Si Mid-Infrared laser sources and Photonic Circuits for chemical sensing applications.

The thesis work is related to the integration of III-V materials into silicon-based photonic integrated circuits (PIC) to achieve hybrid lasers operating in the middle infrared (MIR), and this, in the context of ultimate-integration of chemical sensors for emerging applications (health and enviro...

Health and environment technologies, medical devices

Biomarkers from brain electrical activity for the diagnosis and the follow-up of hypnotic trance

Hypnosis is a non-pharmacological technique increasingly used in the clinical setting for therapeutic and anaesthesic purposes. The real-time monitoring and in-depth characterization of hypnotic state is expected to improve its rationale of use, for the benefit of patients in particular through t...

Health and environment technologies, medical devices

On-Chip moniToring of Organoids using an oPtoflUidiC systEm

The thesis is positioned in the domain of organoids, which enable fundamental tissue mechanisms to be studied in-vitro. The project aims at developing a new microfluidic system with integrated simple, robust and compact optical reading, and allowing for in-situ monitoring of the secretome evoluti...

Photonics, Imaging and displays

Cooled infrared focal plane array: study of pixels stability

The Infrared Laboratory of the Optical and Photonics department of CEA-LETI, associated with the manufacturer LYNRED develop cooled infrared detectors using the HgCdTe technology, with state-of-the-art performances. However, for some specific applications, typically spatial ones like astrophysics...

Communication networks, IOT, radiofrequencies and antennas

Power Efficient AI-based IoT Physical Layer

With the proliferation of connected objects, the Internet of Things (IoT) is currently at the center of digital evolution. It is now possible to connect daily / industrial objects (robots, cars, sensors, etc.) to the Internet via embedded terminals. The mMTC (massive Machine Type Communications) ...

Emerging materials and processes for nanotechnologies and microelectronics

Development of an InP HBT technology on silicon 200mm substrate for sub-mmW power amplifier applications for 6G wireless communications

Following the roadmap for 6G, there is a clear trend to increase the frequency of communication systems in order to enlarge their bandwidth. In these new frequency bands, the highest at 250-325GHz represents the most challenging for technology manufacturers as silicon technologies and Gallium Nit...

New computing paradigms, circuits and technologies, incl. quantum

Neuromorphic circuits and AI: the ionic transistor as a bio-inspired synaptic element. Comprehensive study using a multi-axis approach: design, fabrication, characterization and physical modeling

Functional emulation of biological synapses using electronic devices is considered the first step towards neuromorphic engineering and artificial neural networks (ANN). Ionic transistors are mixed ionic-electronic conductivity devices capable of capacitive and/or faradic gate-to-channel coupling,...

Health and environment technologies, medical devices

Synthesis of fluorophore for the detection of gaseous chemical warfare agents: Study and understanding of fluorophore-analyte interactions

This PhD thesis deals with the design and synthesis of fluorescent probes and the processing method needed for the development of fluorescent sensors of organophosphorus pesticides. A fluorescent probes is a molecule that changes its emission spectrum in the presence of a target molecule. At th...

Health and environment technologies, medical devices

Integrated multiparametric electroanalytical platform for organoid monitoring

Organoids on a chip (OOC) have been the subject of numerous scientific works over the past decade. Indeed, the introduction in microfluidic components of tissue structures, mimicking by their function and architecture the behavior of organs, allows in-depth studies of their functioning and/or beh...

Cyber security : hardware and sofware

Protocols based on homomorphic encryption in a multi-user setting

Homomorphic encryption is a recent cryptographic technique that allows blind computing on encrypted data. This allows users to send sensitive data to a remote server able to manipulate it without knowing it. In this context, a nontrivial problem is : how to allow homomorphic manipulation on data ...

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