Yamagata University

Ref.: 536613 Work type: Full-time Department: Department of Psychiatry, School of Clinical Medicine (21500) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Research Assistant Professor in the Department of Psychiatry, School of Clinical Medicine (Ref.: 536613), to commence as soon as possible, on a one-year temporary basis, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in biostatistics, psychiatry, psychology, or any related discipline. They should have a strong quantitative background and experience in analyzing data using R, Python, or other statistical packages, as well as demonstrated expertise in the analysis of large and complex datasets in relationship to psychosis or other psychiatric conditions. They must possess excellent written and oral communication skills and be able to work independently as well as in collaboration with a multidisciplinary team. Proficiency in longitudinal analyses, multilevel modeling, data visualization, and state-of-the-art statistical and epidemiological models, particularly in pharmacoepidemiology would be an advantage. Preference will be given to those with at least 2–3 years of postdoctoral research experience. The appointee will participate in research on early psychosis, treatment resistant state of schizophrenia and neurodevelopmental disorders utilizing clinical, neurocognitive, biological and neuroimaging approaches. Opportunities for joining study programs using big data analytics will be provided. For further enquiries about the duties of the post, please contact Prof. Sherry Chan (kwsherry@hku.hk). A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start on July 3, 2026 and continue until July 31, 2026, or until the post is filled, whichever is earlier.

ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. XJTLU now has around 25,000 enrolled students in both Suzhou and Liverpool in the UK. There are currently about 2,000 staff, among which about 1,000 academic staff, with an almost even split between citizens of the People’s Republic of China and international passport holders. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT THE INDUSTRIAL INTELLIGENT AGENT RESEARCH CENTER The Industrial Intelligent Agent Research Center at Xi'an Jiaotong-Liverpool University, aligned with national smart manufacturing strategies, is committed to building a world-leading technological innovation platform for industrial intelligence. The center focuses on a tripartite technical system of "Equipment Automation – Operation & Maintenance Intelligence – System Autonomy," aiming to drive profound transformation in industrial manufacturing by breaking through key technologies in smart equipment, industrial software, and system solutions. The center collaborates closely with industrial giants like Hengtong, Haier, and Bond Tech to create a complete value chain from theoretical innovation to industrial application. Job Description We cordially invite applications for Assistant Professor positions from individuals with outstanding research potential in Industrial Intelligent Agents and related fields. Successful candidates will conduct frontier research, join research teams, and participate in the center's core technology initiatives. We particularly welcome scholars with outstanding achievements in areas such as Industrial AI, Intelligent Control Systems, and Industrial Software. Key Responsibilities Scientific Research: Conduct innovative research in core directions of Industrial Intelligent Agents, including but not limited to: Autonomous Decision-Making Systems, Industrial Digital Twins, Intelligent Operation & Maintenance, Advanced Process Control, etc. Actively apply for research grants such as the National Natural Science Foundation of China, Jiangsu Provincial Natural Science Foundation, and industry-sponsored projects. Publish high-quality academic papers in top-tier international journals and conferences. Talent Cultivation: Teach undergraduate and postgraduate courses. Supervise PhD and Master's students. Develop cutting-edge courses and experimental teaching systems related to Industrial Intelligent Agents. Academic Service: Participate in the center's important academic activities and international collaboration projects, assisting in enhancing the discipline's influence. Promote the industrial applications of research outcomes, engaging in deep collaboration with the center's partner enterprises. Qualifications Essential Requirements: A Ph.D. (obtained or soon to be obtained) in Automation, Computer Science, Artificial Intelligence, Mechatronics, Mechanical Engineering, or a related field. Solid theoretical foundation and outstanding research capabilities, with first-author publications in high-level international journals in related fields. Good teaching potential and communication skills, capable of teaching in English. Team spirit and ability to conduct research independently. Preferred Qualifications: Experience with industrial field projects or familiarity with mainstream industrial software/systems (e.g., DCS, MES, APC). In-depth research in areas such as Reinforcement Learning, Large Language Models, Digital Twins, Predictive Maintenance. Overseas research experience or experience collaborating with industry. CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas. Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. CAREER DEVELOPMENT Clear career development path with annual review. Professional development trainings are provided. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as: Housing allowance, Travel allowance, Relocation allowance etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays: Statutory Holidays (13 days) Annual Leave (34 days per academic year including university close days and annual leave) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental Leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter A current CV, including date of birth, country of citizenship, and highest degree level Contact Details for Three References For specific enquiries relating to the position, please email to HRBP on yu.yan@xjtlu.edu.cn

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Job Purpose The Singapore Institute of Technology (SIT) is Singapore's first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university's unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. Targeted to be ready in 2024, SIT's centralised campus within the larger Punggol Digital District will feature a vibrant learning environment where academia and industry will be tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) at SIT comprises experienced practitioners and applied researchers who bridge academia and industry. Professional Officers play a critical role in supporting teaching, applied research, laboratory operations, and industry engagement – bringing real-world expertise into SIT’s learning environment and contributing to the university’s applied research mission. SIT is expanding its quantum-safe communications capabilities, building a team with deep technical expertise in quantum security and cryptographic systems. The Professional Officer in Quantum-Safe Communications & Cybersecurity will contribute to SIT’s mission as a Quantum Hub at Punggol Digital District, supporting the National Quantum-Safe Network (NQSN) and working closely with government agencies and industry partners. Focus areas include: Post-Quantum Cryptography (PQC) – algorithm design, implementation, and migration Quantum Key Distribution (QKD) – system integration, deployment, and network operations Hybrid PQC-QKD secure network architectures Crypto-agility and cryptographic inventory management Quantum-safe standards, testing, and certification (ETSI, ITU-T, NIST) Cybersecurity systems engineering for critical infrastructure Key Responsibilities Design, develop, and deliver laboratory sessions and practice-based modules in Quantum-Safe Communications, Post-Quantum Cryptography, and related areas. Lead or co-lead applied research and industry collaboration projects on quantum-safe network deployment, PQC migration, and QKD system integration. Support companies in conducting cryptographic inventories to identify vulnerabilities and define migration roadmaps towards quantum-safe solutions (crypto-agility). Operate, maintain, and develop SIT’s quantum-safe network testbed infrastructure, including QKD hardware, key management systems (KMS), and hybrid PQC-QKD setups. Conduct hands-on testing, validation, and benchmarking of PQC algorithms and QKD systems against relevant standards (NIST FIPS 203/204/205, ETSI GS QKD, ITU-T). Secure and manage research grants to support applied research in quantum-safe communications and cybersecurity. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Contribute to the development of CET/PET course content and learning resources in quantum-safe communications and cybersecurity. Engage with Singapore’s quantum ecosystem (NQO, IMDA, CSA, NQSN) and industry partners on standards, interoperability, and applied research. Job Requirements Essential PhD in Computer Science, Electrical Engineering, Physics, Cybersecurity, Quantum Information, or a closely related field. Strong expertise in Post-Quantum Cryptography (PQC), with demonstrated experience in algorithm design and/or implementation (e.g., ML-KEM/CRYSTALS-Kyber, ML-DSA/CRYSTALS-Dilithium, SLH-DSA/SPHINCS+, FALCON). Solid understanding of QKD principles, protocols, and systems (e.g., BB84, E91, CV-QKD), including system-level and operational knowledge. Understanding of classical cryptographic primitives and protocols (symmetric/asymmetric encryption, TLS, IPsec, PKI). Familiarity with quantum-safe standards and frameworks: NIST PQC (FIPS 203/204/205), ETSI GS QKD, ITU-T X.1702, ISO/IEC. Proficiency in programming languages such as Python, C/C++, or Java; familiarity with cryptographic libraries (liboqs, OpenSSL PQC, BouncyCastle). Strong analytical, problem-solving, and hands-on experimental skills. Experience Industry experience is strongly preferred — candidates from cybersecurity firms, telecom operators, quantum companies, government agencies, or applied R&D labs are particularly encouraged to apply. Postdoctoral researchers with strong industry collaboration components (e.g., industry-funded projects, testbed deployments, or technology transfer) will also be considered. Fresh PhD graduates with strong applied research outcomes (deployments, industry pilots, standards contributions) may be considered. Preferred / Advantageous Experience with crypto-agility frameworks and cryptographic inventory management — supporting organisations in identifying cryptographic weaknesses and planning PQC migration. Hands-on experience with QKD network deployment, key management systems (KMS), and hybrid PQC-QKD integration. Familiarity with quantum-safe network testbeds (e.g., NQSN, NQSN+, EuroQCI, or equivalent). Experience with cybersecurity systems engineering for critical infrastructure (finance, telecom, government, energy).