Duties: The team works on the development of new organic polymer/molecular semiconducting materials and their application to organic electronic devices and functional thin films. Specifically, we seek the methodology and molecular design to control the precise structure in molecular- and nano-scale at our will and try to find breakthroughs to drastically enhance the performance of the materials. Targets of our research are not only the conventional organic solar cells and field-effect transistors, but also the new molecular design that draws the maximum potential in the electronic properties of the polymer thin films
Requirements: Applicants must have a doctor degree (or are expected to have until the employment) in the related fields of chemistry or physical chemistry

Duties: research and development of quantum computing simulations using methods such as tensor network for the quantum-HPC hybrid computing platform, research and development of the optimization of quantum-HPC hybrid computing programs such as error suppression and mitigation methods, as well as quantum circuit optimization techniques
Requirements: Applicants must have a doctoral degree in a related field or expect to receive a doctoral degree before the date of appointment. Candidates in the field of condensed matter physics, statistical physics, quantum chemistry, particle physics, nuclear physics, quantum information, or machine learning are all encouraged to apply

Duties: Research on the mechanisms underlying the antiviral immunity mediated by piRNA pathway in mammals. In particular, the applicant will be engaged to establish a murine model to test if piRNAs derived from viral sequences in the host genome functions as an antiviral mechanism against homologous viruses
Requirements: A doctoral degree awarded at least 3 years ago; Researchers who have basic knowledge of molecular biology and virology and are interested in research that actively incorporates small RNA-seq analysis, etc; Researchers who have worked with viruses and those who have equivalent knowledge

Duties: Research on superconducting transport phenomena using hybrid superconductor-semiconductor heterostructures for the JST Emergent Research Support Program adopted project "Pioneering Novel Josephson Superconductivity by Spin Control"
Requirements: The candidate should (or is expected to) possess a doctoral degree in experimental research fields of semiconductor physics, quantum transport, and electrical engineering

Duties: Research of optical quantum computers toward realizing fault-tolerant universal quantum computers
Requirements: Applicants must have a doctor degree (or must be expected to receive a doctor degree until the employment). No experience required in quantum optics or quantum information

Duties: Development of superconducting quantum computing systems
Requirements: Candidates should possess or is expected to obtain a doctoral degree by the starting date

Duties: iTHEMS is seeking postdoctoral researcher(s) in ecology, evolutionary biology, and biodviersity. The successful applicants are expected to work on theoretical studies on biodiversity changes under environmental variability. Also, such applicants are expected to engage in interdisciplinary interactions and collaborations among different fields such as mathematics, physics, chemistry, biology, information sciences, computational sciences, and social sciences, under the concept of iTHEMS. For more details, send an email to the contact address below
Requirements: The candidate should possess or is expected to obtain a doctoral degree by the starting date

Duties: Novel electronic and magnetic dynamics in a wide range of quantum materials will be explored and controlled by combining broadband linear/nonlinear/ultrafast spectroscopic techniques with various external stimuli, such as electric/magnetic fields and high pressure
Requirements: Doctoral degree (or equivalent research ability and background) in the relevant research field. Experiences on ultrafast optics, or optical spectroscopy targeting strongly correlated, multiferroic, or quantum materials are desired

Duties: The candidate is expected to conduct research on the development of tensor decomposition theory and algorithms and leverage it to solve challenging machine learning problems. Specifically, several research themes can be investigated, such as adversarial machine learning, nonlinear tensor decomposition and generative models. The experiences and expertise in tensor methods, Bayesian methods and trustworthy machine learning are highly expected
Requirements: must have a Ph.D. or expect to receive a Ph.D. before the date of employment in machine learning, computer science, statistics or a related field

Duties: The applicant will be responsible for optimizing the parameters of the low-emittance injector and studying system modifications to reduce the projection emittance, with a view to upgrading SACLA in the short term. In addition, the applicant will be responsible for the redesign and simulation of the injection section including the electron source and the development of necessary equipment for future KHz-order high-repetition rate
Requirements: Applicants must have a doctoral degree before starting employment

Duties: The successful candidate will be expected to develop advanced algorithms in areas such as weakly- and self-supervised learning, transfer learning, and multimodal learning to extract semantics and 3D information from remote sensing data. We welcome candidates with experience and expertise in machine learning, computer vision, computer graphics, point cloud processing, and/or SAR signal processing
Requirements: must have a Ph.D. or expect to receive a Ph.D. before the date of employment in machine learning, computer science, statistics or a related field

Duties: Developing, optimizing, and utilizing genetic tools to label and manipulate astrocytes and examine the consequences in neurons, brain circuits, and behavior; Conducting cellular and molecular mapping of behavior-associated astrocytes/neurons and utilizing CRISPR to investigate causality; Unmasking the functional diversity of astrocytes and understanding the in vivo consequences of astrocyte-neuron communications in relevance to adaptive and maladaptive behavior
Requirements: Ph.D. degree with over 5 years of postdoctoral research experience (Life/Natural sciences or engineering preferred); Demonstrated expertise in fiber-photometry and/or two-photon imaging/stimulation, behavioral analysis, cellular physiology, omics analysis, and molecular biology; Proficiency in optogenetic and/or pharmacogenetic methods; Proficiency in cell-specific CRISPR-Cas9 methods

Duties: The Computational Structural Biology Research Team aims to advance our understanding of biological processes by studying the structures and dynamics of biological molecules. More particularly, the team aims to develop computational tools that can be used to interpret structural data as obtained from cryo-electron microscopy, electron tomography, atomic force microscopy, and x-ray free-electron laser experiments
Requirements: Applicants must have a doctoral degree or expect to receive a doctoral degree before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researcher, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientist. Applications are welcome from any field, although proven skill in UNIX and programming languages for scientific computation is required. Experience with 2D image analysis in relation to X-ray diffraction and electron microscopy, MD simulations, coarse-grained modeling, high-performance parallel computing, and machine learning is a great plus. Excellent communication skill in English is required

Duties: The successful candidate will lead projects on topics related to the roles of socio demographic factors in various medical issues in our society. The work will primarily involve designing and conducting experiments, data analysis, presentation of results at conferences, and preparation of research manuscripts
Requirements: A doctoral degree in a related field with less than 5 years of work experience after obtaining PhD is required; The candidate should have experience in computer programming and data analysis (e.g. Python/R/Stata), as well as research experience in social epidemiology and/or network analysis demonstrated by first-authorship in preprints/published papers)

Duties: Development of numerical methods for strongly correlated quantum systems, such as quantum Monte Carlo methods, density matrix renormalization group methods, and tensor network methods, and application of these methods to study strongly correlated quantum systems; Application of machine learning techniques to strongly correlated quantum systems; Development of quantum algorithms for quantum many-body systems and demonstration of these algorithms using classical/quantum computers, and; Development of quantum computing simulations using classical computers such as Supercomputer Fugaku
Requirements: pplicants must have a Ph.D. or expect to receive a Ph.D. before the date of appointment

Duties: We seek a highly motivated research scientist or postdoctoral researcher to develop environmental perception techniques and implement them for robot applications. We mainly focus on multi-modal signal processing and pattern recognition; especially, fine-grained understanding of the surrounding environment (3D object recognition, utilization of scene graphs, etc.) using video and LiDAR data, necessary for controlling autonomous mobile and interactive robots, and on robot implementation of these recognition technologies
Requirements: must have a Ph.D. or is expected to receive a Ph.D. in computer vision, pattern recognition, machine learning, multimedia processing, or a related field before the date of employment; must be proactive, cooperative, flexible, and able to respond according to the circumstances; must also have good communication skills and cooperate with the relevant personnel within/outside of the laboratory to fulfill the tasks

Duties: High Performance Big Data Research Team at RIKEN R-CCS researches and develops system software for large-scale HPC (High Performance Computing) systems such as the Supercomputer Fugaku. Especially, we study state-of-the-art techniques for convergence of HPC, AI and Big data technologies as well as fundamental R&D in HPC. To achieve the goal, we develop system software to accelerate deep learning and big data processing on large-scale HPC systems, i.e., (HPC for AI/BD). we also apply AI and Big data processing techniques to resolve several technical challenges in large-scale HPC systems. We also study techniques to design next-generation large-scale HPC systems. The research topics include (but not limited to):
Requirements: Applicants must have a Ph.D. or expect to receive a Ph.D. before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researchers, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientists. The candidate should have knowledge and experience in programming with C/C++ languages. Experience in parallel programming (MPI, OpenMP, or other parallel programming languages) and research and development for scaling and accelerating large-scale I/O is also desirable

Duties: Conduct research on next-generation AI systems by focusing on the following topics: Acceleration of HPC algorithms using machine learning; Auto generation of code for HPC algorithms using empirical models based on machine learning; Extreme speedup and scalability of deep learning: Achieve extreme scalability of deep learning in large-scale supercomputing environments including Fugaku, extending the latest algorithms and frameworks for deep learning
Requirements: Applicants must have a Ph.D. or expect to receive a Ph.D. before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researcher, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientist. Exceptions may apply to those with an outstanding record of achievements. Individuals with research experience in the areas described in “Job description” are strongly preferred. The applicant must be socially cooperative, able to conduct research independently, and have good communication skills

Duties: The primary target of our project is to develop our-own theoretical and computational molecular theory in order to perform first-principles calculations for the large-size and complicated molecular systems including nano- and bio-materials. The project involves the novel development of theory, algorithm, and software, which will be realized through collaborative use of the supercomputer Fugaku across the fields of computational science and computer science. By using our-own developing theory and software, in addition, we will realize a variety of untraversed computational applications for theoretical molecular designs as well as theoretical clarifications of chemical reactions and properties
Requirements: Applicants must have a doctoral degree or expect to receive a doctoral degree before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researchers, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientists; Background(s): Quantum chemistry, Theoretical chemistry, Condensed matter physics, Machine learning, Materials informatics