Total 119 science rd research job vacancies in northshore north east

Research Assistant/Intern for Research on Wireless Power Transfer

The hired research assistant/intern will work on the development of wireless power transfer (WPT) in the Biomedical EM Lab at Singapore University of Technology and Design (http://people.sutd.edu.sg/~huangshaoying/). The contract is 3-4 months for interns and 1 year (renewable) for research assistants.

Project Description

The project is to investigate the design possibilities of a compact, efficient, and wideband antenna/radiator suitable for wireless energy harvesting (WEH)/WPT. This exploration will span both conductive and magnetoelectric (ME) antennas. Our study will consider WIFI, power from base stations, and WPT as potential power sources.

Job Scopes:

• Literature review of the research domain
• Designs of small antennas/radiators for WEH/WPT using commercial EM software
• Facilitate antenna/radiator fabrications and testing
• Data collection and documentations

Your profile

We are looking for a researcher with the following expertise and skills,

• Knowledge on microwave engineering, especially antenna theories and transmission line theories
• Research or design experience on WEH/WPT and/or antenna designs
• EM simulation software (e.g., CST)
• Testing and characterization of RF/microwave devices or components
• Python/Matlab coding
• Good communication skills and interpersonal skills
• A good team player

For the research assistant, a mater degree is preferred.

For interested candidates

Interested candidate please send your CV to Huang Shaoying at [email protected]

Research Scientist for Research on Wireless Power Transfer

The hired Research Scientist will work on the research of wireless power transfer (WPT) in the Biomedical EM Lab at Singapore University of Technology and Design (http://people.sutd.edu.sg/~huangshaoying/). The contract is 1 year (renewable) for research assistants.

Project Description

The project is to investigate the electromagnetic mechanisms for a compact, efficient, and wideband antenna/radiator suitable for wireless energy harvesting (WEH)/WPT. This exploration will span both conductive and magnetoelectric (ME) antennas. Our study will consider WIFI, power from base stations, and WPT as potential power sources.

Job Scopes:

• Literature review of the research domain
• Investigations on the electromagnetic mechanisms for a compact, efficient, and wideband antenna/radiator suitable for WEH/WPT
• Designs of small antennas/radiators for WEH/WPT
• Antenna/radiator fabrications and testing
• Paper writing and documentations

Your profile

We are looking for a researcher with the following expertise and skills,

• A PhD in electrical engineering, physics, or related field
• Knowledge on EM theories microwave engineering, especially antenna theories and transmission line theories
• A background on EM modeling and simulation software (e.g., CST)
• Research or design experience on WEH/WPT and/or antenna designs
• Testing and characterization of RF/microwave devices or components
• Python/Matlab coding
• Good track record of the capacity to drive first author publications
• Good communication skills and interpersonal skills
• A good team player

For interested candidates

Interested candidate please send your CV to Huang Shaoying at [email protected]

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

The Research Fellow will conduct research on cutting-edge foundation models and their reliability issues. This role involves leading research efforts, developing innovative algorithms, managing large data sets, and ensuring the model's accuracy and reliability. The candidate is also expected to work closely with the Principal Investigator on research publications, project applications, as well as supervising junior researchers in the team.

Qualifications:

• PhD in computer science or related discipline.
• Strong background in machine learning, data science, and statistics.
• Strong programming ability.
• Track record of research experience and publications in the area of artificial intelligence, machine learning, computer vision, and natural language processing.
• Proven experience in the implementation and evaluation of machine learning algorithms.
• Proven experience in supervising junior researchers.

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

The Singapore University of Technology and Design (SUTD) is looking for candidates with strong background in computer vision and deep learning.

Job Responsibilities

• Develop new algorithms for image and video analysis;
• Write research papers for top-tier conferences and journals;
• Write proposals and reports for research projects.

Applicants should have a PhD degree in computer science, software engineering, electronic engineering, or related disciplines.

The Role

The End User Support Lead will be responsible for leading the team to plan and implement JRIS internal system projects and perform BAU activities. He/she will work closely with stakeholders mainly from Japan Head Office, end users, system development teams, back-office teams and vendors to establish effective and efficient collaboration.

Job Responsibilities

• Develop digitalization solutions for internal systems to enhance operational efficiency.
• Improve the office automation (OA) environment to create more productive workspaces.
• Establish governance frameworks to effectively manage IT risks and ensure alignment of activities with overall business objectives.
• Evaluate and review internal system processes and procedures to ensure the adherence to the corporate security process.
• Ensure that internal systems are properly maintained.
• Act as the point of liaison to Head Office for all matters related to OA and internal systems.
• Lead, guide and manage team members for project planning, execution and BAU support.
• Review and develop strategies for resource planning and utilization.
• Oversee the development of learning roadmaps for teams and functions.
• Establish performance indicators to benchmark effectiveness of learning and development program against best practices.
• Implement succession planning initiatives for key positions.
• Advise stakeholders toward reaching compromises and agreeing on expectations.
• Build high performance values-driven culture among the team in support of the organization's agenda.
• Lead and motivate team towards development and delivery of strategic priorities for Planning department.
• Provide daily supervision to team members, ensuring that they are motivated and equipped with skills and resources to manage their tasks respectively.
• Oversee hiring, training and coaching of team members.
• Perform other duties as and when assigned.

Job Requirements

• Bachelor’s degree in information technology, Computer Science or equivalent with around 5 years’ experience in providing IT services to financial institutions.
• In -depth knowledge on MSO365, Group Policy, AD Trusts, AD Sites and Services, DNS, DHCP, and DFS.
• In -depth Knowledge on Microsoft Licensing, SCCM, PC/laptop hardware and software delivery.
• Knowledge of IT service business for bank or FI.
• Comprehensive knowledge of technologies supporting asset management processes.
• Experience to handle regional projects which involve stakeholders in Japan.
• Experience supporting IT End User Service in a large organization.
• Proven experience in solution, architecture, design for desktop OS engineering, virtualization
• Experience in internal control or audit area with a deep understanding of the IT business process and systems.
• Capability to lead and drive the IT BAU related tasks with good time and stakeholder management skills and experience.
• Proactively socialize with stakeholders and maintain good relationship to steer the tasks.
• Possess strong and assertive verbal, written communication skills and presentation skills.
• Ability to work in a fast -paced environment with constantly changing priorities.
• Good bi-directional and collaborative attitude to work as a professional in a team.
• Microsoft certification – Intune, MS 365 mobility and security, Managing Modern Desktops, Modern Desktop Administrator, MS Azure certification, MCSA/MCSE.
• VMware certification - Security certifications and CCNA certification are desired for the role.
• ITIL v3 Foundations Certification.
• CPA, CIA, CFE or other related certification for corporate governance.
• Project Management certification (e.g., PMP, PRINCE2) or equivalent experiences.

Responsibilities:

• To conduct research how to use advanced multi-agent AI and machine learning tools to decarbonize urban last mile delivery such that it operates in a smart and sustainable manner;
• To develop novel sharing AI and economy mechanisms such as informational regulation policies for enabling sustainable urban transportation; and
• To develop suitable experiments and realistic case studies to test and support the proposed solutions in large scale or complex networks.

Requirements:

• PhD in Control Science & Engineering, Computer Science, Electrical Engineering or Applied Mathematics;
• Strong publication records in top conferences or journals in AI, Computer Science, Electrical Engineering, Networking, Experiments, and system optimization;
• Experience in research control algorithm design and system optimization using performance control, machine learning, stochastic modelling, optimization, or algorithmic game theory;
• Experience in applying mathematical modelling and control algorithms to large-scale networks;
• Proficient in oral and written English; and
• Ability to work independently as well as in a team-oriented environment

The Lee Kuan Yew Centre for Innovative Cities (LKYCIC), established in 2012, is a research centre at the Singapore University of Technology and Design. LKYCIC aims to stimulate research on cities and urbanisation, and explore the role of technology, design and policy in providing urban solutions.

Within the Programme on Urban Innovation, we are seeking a full-time Research Assistant to contribute to the study of placekeeping, which involves the long-term management and maintenance of place. With a mixed-methods research approach, we will examine who the key stakeholders are in placekeeping, how they collaborate, and what facilitates or hinders their collaboration. The study aims to establish a methodology and framework that will enable the systematic investigation of placekeeping and inform future policies and practices related to placekeeping in Singapore.

About the Position:

This position is ideal for someone who is passionate about placemaking, placekeeping, and community engagement in urban planning and design and is looking to gain experience for a future career in research.

You will:

• Work closely with the Principal Investigator and research team to craft data collection tools, including survey and interview questionnaire
• Conduct fieldwork and data collection activities, including interviews, on-site observations, and surveys
• Assist in conducting qualitative content analysis of interview transcripts and documents related to placekeeping projects
• Assist in the analysis of quantitative and spatial data
• Assist to prepare manuscripts and reports for publication
• Communicate research with public and private stakeholders and collaborators
• Research and write literature reviews
• Provide administrative support for research projects

Duration: The selected candidate is expected to start from January 2024. The initial term of appointment will be one year, extensible to longer terms upon satisfactory performance and funding availability.

Qualifications and Skills:

• A Bachelor’s/ Master’s degree in a relevant field, such as urban planning, geography, urban design, public policy, sociology, or environmental psychology.
• Strong research and analytical skills, including analysing and synthesizing data from multiple sources.
• Demonstrated skills in quantitative and/or qualitative data collection and analysis
• Proficiency in data analysis software/ programming language (e.g. NVivo, Atlas.ti, R, Python)
• Excellent written and verbal communication skills, including assisting in developing reports and papers for publication and presenting complex information in a clear and concise manner.
• Strong time management and project organisational skills.
• Proven ability to work in a team and an interdisciplinary environment, with minimal supervision.
• Solid understanding of, or work experience in placemaking and placekeeping is a plus
• Knowledge and/ or experience in designing data collection tools based on environmental psychology and community psychology is a plus.

How to Apply: The application with the subject heading – Placekeeping RA Application – should be sent via email to Dr. Yohei Kato at [email protected]

The application must include the following:

• a cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• a curriculum vitae
• a writing sample
• three referees who may be contacted for a reference

Only shortlisted candidates will be contacted. This position remains open until filled. The Lee Kuan Yew Centre for Innovative Cities offers an exciting and intellectually stimulating environment where appointees can significantly contribute and develop professionally.

Requirements:

• A Bachelors degree from reputable university.
• Qualifications or work experience in psychology, cognitive science, or healthcare in elderly population is preferred.
• Equipment with research skills, such as literature review, conducting experiments, basic statistical analysis, report write-up, etc., is preferred.
• Experience in qualitative study research, including data collection and audio transcription is a plus.
• Proficient in Hokkien is a plus.

Responsibilities:

• To assist and work closely with the research team SUTD PI and Research Fellow in managing and coordinating all matters in the project
• To arrange and schedule experiment/interview appointments with university students, healthy elderly participants, elderly care centres, or other target population
• To undertake data collection, data entry, data analysis, etc.
• Assist in the preparation and writing of progress reports, presentations, and abstracts to conferences.
• To undertake and support administrative work, such as procurement and purchasing laboratory items, liaising with relevant internal and external parties, etc.
• Any other duties assigned by the research team

Skills: Performance control and optimization for decarbonizing urban operation (nonlinear) systems

Qualifications:

• PhD degree in control science and engineering, computer science, electrical engineering, or applied mathematics.
• Have multiple publications in top conferences/journals in system control, computer science, electrical engineering, networking, experiments, and system optimization.
• Fluent in oral and written English.

Experience:

• Expertise in research in control algorithm design and system optimization using performance control, machine learning, stochastic modelling, optimization, or game theory.
• Good at applying mathematical modelling and control algorithms to large-scale networks.

Postdoctoral Research Position in Optimization, Learning in Games, and Reinforcement Learning

Job Description:

The ESD pillar at SUTD invites applications for a postdoctoral research position in the fields of optimization, learning in games, and reinforcement learning. This position offers an exciting opportunity to engage in cutting-edge research and collaborate with leading experts in these areas.

Responsibilities:

• Conduct original research in optimization, learning in games, and reinforcement learning.
• Develop novel algorithms and theoretical frameworks to advance the understanding of these fields.
• Publish research findings in top-tier peer-reviewed conferences and journals.
• Collaborate with faculty, graduate students, and other researchers on related projects.
• Participate in seminars, workshops, and other academic activities within the department.
• Mentor and supervise undergraduate and graduate students.

Qualifications:

• A Ph.D. in Computer Science, Applied Mathematics, Electrical Engineering, or a related field.
• Strong background and research experience in stochastic optimization, game theory, and reinforcement learning.
• Demonstrated ability to conduct high-quality research and publish in leading academic venues.
• Proficiency in programming languages such as Python, MATLAB, or similar.
• Excellent written and verbal communication skills.
• Ability to work independently as well as in a team-oriented environment.

We are seeking applicants for a full-time postdoctoral research fellow position in non-Hermitian physics (ONLY theory and simulation). The successful candidate will apply quantum mechanics and computational simulations to study the physical properties of non-Hermitian system and their nonequilibrium behaviour, as well as to explore potential device applications. The successful candidate may also carry out electrical circuit design, fabrication and measurement to experimentally confirm various non-Hermitian systems.

Essential job requirements:

• PhD in computational/theoretical Physics or a related field
• Strong expertise in condensed matter physics, especially in non-Hermitian physics
• Good understanding on topological electrical circuits
• Proven publication record

Additional requirements (optional):

• Machine learning technique
• Background in industrial circuit design software
• Some experiment experience in electronics and circuits

Research Associate/Assistant (Urban Environmental Sustainability)

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Associate or (Senior) Research Assistant, to join a growing research team focusing on addressing critical urban environmental sustainability challenges.

Successful applicants will contribute to a project that applies a transdisciplinary approach to investigate individuals’ discounting of the impact of climate change in Singapore, and how we can use the everyday shared experience of urban heat to unlock pathways for addressing the inertia towards climate action.

Candidates should possess a strong interest in transdisciplinary research and urban environmental sustainability. Expertise in quantitative research methods and a background in social and/or behavioral science will be a plus.

This position is ideal for individuals interested in pursuing an academic/industry research career.

The candidate will be expected to:

• Conduct and write literature reviews
• Participate in fieldwork and data collection
• Contribute towards quantitative and/or qualitative data analyses
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders
• Support the team in project management of the research (e.g., budgeting, liaising with external collaborators, project administrative duties)

Skills and qualifications required:

• A bachelor’s or master’s degree related to the social sciences, behavioural sciences, or environmental studies
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong interest or knowledge in urban environmental sustainability
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., STATA, R, SPSS) is a plus

How to apply:

Interested applicants are encouraged to send their application with the subject heading – Research Associate/Assistant (Urban Environmental Sustainability) to [email protected] with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae
• Two writing samples of publication or research work
• Three referees who may be contacted for a reference

We regret that only shortlisted candidates will be notified. Applications will be reviewed and will continue until the position is filled.

The Research Assistant will be expected to engage in projects around 5G Digital Telecommunication Platform for Cyber Exercises under the Future Communications R&D Programme (FCP) Office in SUTD. Additionally, he/she will also have teaching responsibilities and will be expected to assist in the supervision of graduate students in Cybersecurity. The candidate must be comfortable with both team and independent work, and possess a proven record of scientific excellence, personal initiative, and proficiency in communicating scientific findings in journals and at professional meetings. Excellent command of English is essential.

The position will be located within the Pillar of Information Systems Technology & Design at SUTD. The team will be supervised by Assoc Prof Binbin Chen and Yeaz Jaddoo respectively.

Required qualifications:

• MSc in Electrical/Systems Engineering, Information Technology, Cybersecurity, Applied Mathematics or equivalent disciplines;
• Research experience in either one of the following areas: Cybersecurity, Secure Software Engineering, or Machine Learning
• Excellent skills in programming (preferably Python). Fluency in modern distributed ML frameworks (TensorFlow, PyTorch, Caffe)

Interested candidates should send their CV to [email protected].

We are seeking a highly motivated research assistant with a strong mathematical background who is interested to explore new research directions in neuro-symbolic methods, specifically on the interplay between deep learning and symbolic reasoning. The successful candidate can expect to help with the implementation of algebraic machine reasoning frameworks and will work closely with other team members.

The goal of this project is to develop a general neuro-symbolic reasoning framework for solving various reasoning tasks. The symbolic reasoning part of this framework shall be based on algebraic machine reasoning, a new reasoning paradigm built upon commutative algebra and computational algebra. The non-symbolic part of the framework shall primarily be based on deep learning, and could include vision models, language models, and multi-modal models.

Qualification & Experience:

• Bachelor's in computer science.
• Strong programming experience and must be open to learning new things.
• Strong mathematical background, and is excited by the possibility of applying algebraic methods (e.g. in computational algebra) to problems in machine reasoning.
• Candidates with strong algebraic backgrounds or strong machine reasoning backgrounds are prioritized.

Interested candidates should submit a current CV and copies of academic transcripts directly to Ernest Chong ([email protected]) with the email subject header "AI Research Assistant position for project on algebraic machine reasoning". Only shortlisted candidates will be notified.

The Edge AI Acceleration Lab (https://sites.google.com/view/bowang/home) in Singapore University of Technology and Design, Singapore is leading a project on Energy Efficient, Distributed Green Streaming Machine Learning for Edges with Prof. Zehui Xiong (https://sites.google.com/view/zehuixiong), who is a Clarivate Highly Cited Researcher. The team is looking for a highly motivated Senior Research Assistant / Research Fellow. The ideal candidate is expected to hold a Master's / Ph.D. degree with expertise in one of the following domains:

1. Streaming Machine Learning with performance/energy modeling, parallelization framework, or hybrid-model learning
2. Load shedding techniques, efficient workload offloading, or fault-tolerant mechanisms
3. Streaming compression algorithm implementation, or AI-guided automatic system tuning

The team provides first-class facilities. Please email [email protected] with your CV if you're interested in the position.

Singapore University of Technology and Design (SUTD) is actively seeking applications for Senior Research Assistant/ Research Fellow positions at the intersection of optimization and quantum information, funded through the QEP 2.0 program. This role offers a unique opportunity to apply mathematical optimization techniques to address pivotal challenges in the realm of quantum information theory.

Qualifications:

- Educational Background: A Masters or Ph.D. in Applied Mathematics or Computer Science.

- Optimization Expertise: Proven experience in the application of optimization techniques to tackle complex computational problems.

- Publication Track Record: A strong history of influential publications in high-impact journals or conferences within the pertinent fields.

Principal Investigator:

The successful candidate will collaborate with Assistant Professor Antonios Varvitsiotis, affiliated with the Engineering Systems and Design Pillar (https://sites.google.com/site/antoniosvarvitsiotis/)

Job Purpose :

• Assist the teachers in planning, developing, delivering and evaluating appropriate individualized educational services, learning programmes and instructions for special needs students in both self-contained and integrated settings.

Key Responsibilities

• Assist teachers in managing students in classrooms and in community-based activities
• Supervise and assist individual or small groups of students in activities/educational tasks set by teachers
• Assist teachers in preparation of instructional materials and/or classroom environment for lessons
• Provide support for students with MID, Autism and other developmental disabilities. Priority is to support these students to develop skills to enhance personal care and independence, and support daily lessons/activities in and beyond the classroom including student profiling.
• Work with functional committees to plan and implement school-wide educational and recreational programmes.
• Collaborate and consult with allied professionals, parents/caregivers and external agencies to ensure quality support and well-being of students.

Job Requirements:

• Minimum GCE “N” level, NITEC, polytechnic diploma or equivalent
• Possess good Time Management, Problem Solving and Decision Making and Effective Oral and Written Communications Skills.
• Possess prior experience educating persons with Mild Intellectual Disabilities (MID)
• Possess working knowledge of educational technology applications
• Experience in diagnosing and assessing learning disorders
• Proven effective classroom and student behaviour management skills
• Knowledge of current special education practices and methodologies

Responsibilities:

• Design and implement an intrusion detection system (IDS) specifically for monitoring and securing the IT-OT interfaces within power grid environments.
• Capture, decode, and analyze network traffic in the IT-OT domain of the ICS to detect and respond to potential security threats.
• Develop and refine algorithms and methods for detecting anomalous behavior or unauthorized access within the network.
• Collaborate with cybersecurity and network teams to integrate the IDS into the existing security infrastructure and workflows.
• Conduct continuous monitoring and periodic testing of the IDS to ensure its effectiveness and to update its capabilities in response to emerging threats.
• Prepare and maintain documentation related to the IDS, including system design, configuration, and operational procedures.
• Stay updated with the latest cybersecurity trends and advancements in intrusion detection technologies to recommend improvements to the IDS.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Engineering, Computer Science, Information Technology, or related fields.
• Proficient in Python programming with demonstrated experience in developing and maintaining software solutions.
• Solid understanding of computer networks, including network architectures, protocols, and security measures.
• Experience with network analysis tools, with a preference for candidates familiar with Wireshark.
• Knowledge of Industrial Control System (ICS) protocols such as IEC 61850, MODBUS, and Ethernet/IP (ENIP) is highly beneficial.

Skills and Abilities:

• Strong analytical and problem-solving skills with a keen attention to detail.
• Ability to work independently and in a team environment, managing multiple priorities with minimal supervision.
• A proactive approach to identifying risks and implementing preventative measures.

Responsibilities:

• Lead multidisciplinary teams in designing, developing, and implementing sustainable solutions
• Ensure successful project delivery within project timelines, budgets and Quality metrics
• Engage with startups, research institutions and industry expert
• Represent Yokogawa at conferences, workshops, and industry events
• Develop solutions in sustainability focus areas such as Net Zero, Circular economy, and well being
• Contribute to patent filings and intellectual property development. Publish white papers and represent in conference

Requirement:

• Master or Bachelor's Degree in Engineering, Science or Management
• Minimum 3 years of relevant experience in technology development, research, or innovation in sensing, control and optimization
• Proven track record of proposing / executing successful R&D grant projects and research collaborations
• Relevant data analytics and programming skills needed to support the research work
• Experience in handling both agile projects and an industry project
• Experience in new ventures and start up is a plus

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

Responsibilities:

• Lead multidisciplinary teams in designing, developing and implementing sustainable solutions
• Manage project timelines, budgets, and resources effectively
• Ensure successful project delivery and stakeholder satisfaction
• Engage with startups, research institutions and industry experts
• Build strategic partnerships to accelerate technology adoption
• Represent Yokogawa at conferences, workshops, and industry events
• Stay abreast of advancements in sustainability focus areas such as Net Zero, Circular economy and Well Being
• Provide technical guidance to project teams
• Contribute to patent filings and intellectual property development
• Publish white papers, participate in webinars, and contribute to thought leadership forums.
• Mentor junior technologists and foster knowledge sharing

Requirement:

• Master / Degree in Engineering, Science, Management
• Minimum 8 years of relevant experience in technology development, research, or innovation in sensing, control and optimization with at least 3 years’ experience in managing a team
• Proven track record of leading successful grant applications, Research collaborations and projects execution
• Relevant data analytics and programming skills needed to support the research work
• Experience in handling both agile projects and an industry projects
• Experience in new ventures, small business growth, start ups is a plus

Yokogawa is an Equal Opportunity Employer. Yokogawa wants a diverse, equitable and inclusive culture. We will actively recruit, develop, and promote people from a variety of backgrounds who differ in terms of experience, knowledge, thinking styles, perspective, cultural background, and socioeconomic status. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances. Yokogawa values differences and enables everyone to belong, contribute, succeed, and demonstrate their full potential.

Are you being referred to one of our roles? If so, ask your connection at Yokogawa
about our Employee Referral process!

The Singapore University of Technology and Design (SUTD) is a young and innovative university with a unique educational structure and mission of creating a better world by design. SUTD was established in 2009 as the fourth public funded university in Singapore in collaboration with MIT and Zhejiang University.

With a small student-to-faculty ratio, an innovative active-based learning pedagogy, an interdisciplinary pillar organization, a stellar faculty, and a beautiful new campus, SUTD aims to nurture future technological leaders in engineering and architecture. SUTD is considered by international experts as an emerging leader in its engineering education.

http://news.mit.edu/2018/reimagining-and-rethinking-engineering-education-0327

We invite applications for a teaching track position at lecturer or senior lecturer level at the Science, Mathematics and Technology (SMT) Cluster. Duties include teaching of undergraduate and continuous education courses, advising undergraduate student projects, conducting pedagogical research, creating innovative curriculum, student outreach, and service to SUTD and the community. We are particularly interested in individuals with a strong and genuine interest in promoting STEM education at levels.

The minimal qualifications for the faculty position include:

1. An earned doctorate in Applied Mathematics, Physics, Bioinformatics or related engineering fields,
2. A strong passion and high competence in teaching applied mathematics, physics, modeling/simulation and related courses at the undergraduate levels,
3. Excellent communication skills,
4. Prior teaching experience including experience in technology-enabled learning, is preferred,
5. Prior experience in pedagogy research is preferred,
6. A demonstrated record of, or potential, for teaching to industry partners, and
7. A demonstrated record of, or potential, for scholarly research.

Requirements

Please submit your full application package, it should include:

1. Statement of interest / Cover letter
2. Teaching statement and prior teaching experience
3. Past student feedback, if applicable
4. Research statement
5. Full resume with profile, and publication list
6. Sample of published works
7. Contact information of 3 referees

Job Title: Postdoctoral Researcher in Transportation Mode Choice and Car Ownership Decisions

Job Description:

We are seeking a highly motivated and skilled Postdoctoral Researcher to join our team and contribute to an exciting project focused on understanding individual decisions regarding car ownership and transportation mode choice. The successful candidate will utilize advanced machine learning techniques to analyze real-world data and develop models that elucidate the factors influencing these decisions. This research aims to provide valuable insights for policymakers, urban planners, and transportation authorities to design more efficient and sustainable transportation systems.

Key Responsibilities:

1. Conduct in-depth literaturereviews to understand existing theories and methodologies related to transportation mode choice and car ownership decisions.
2. Collect, preprocess, and analyze large-scale datasets containing information on individual travel behavior, demographic characteristics, urban infrastructure, and environmental factors.
3. Develop machine learning models, including but not limited to regression, classification, and clustering algorithms, to identify patterns and predict individual choices regarding car ownership and transportation mode.
4. Collaborate with interdisciplinary team members including researchers in transportation engineering, urban planning, and data science to integrate findings into comprehensive frameworks.
5. Communicate research findings through high-quality publications in peer-reviewed journals, conference presentations, and reports.
6. Assist in the supervision of graduate students and contribute to the intellectual environment of the research group by participating in discussions, seminars, and workshops.
7. Engage with stakeholders such as government agencies, industry partners, and community organizations to disseminate research outcomes and facilitate knowledge exchange.

Qualifications:

1. A Ph.D. in transportation engineering, urban planning, computer science, applied mathematics, statistics, or a related field.
2. Strong background in machine learning, statistical analysis, and data mining techniques, with experience in applying these methods to real-world datasets.
3. Proficiency in programming languages commonly used in data analysis such as Python, R, or MATLAB.
4. Familiarity with transportation modeling software (e.g., TRANSIMS, MATSim) and geographic information systems (GIS) is advantageous.
5. Excellent written and oral communication skills, demonstrated through a track record of publications in reputable journals and presentations at academic conferences.
6. Ability to work both independently and collaboratively in a multidisciplinary research environment, with a proactive and creative approach to problem-solving.
7. Prior experience in transportation research, particularly in the areas of mode choice modeling, travel behavior analysis, or urban mobility, is preferred but not required.

Duration and Remuneration:

The position is full-time and renewable annually, contingent upon satisfactory performance and funding availability. The salary will be commensurate with qualifications and experience, in accordance with institutional guidelines for postdoctoral researchers.