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.

Job Responsibilities:

~ with experience in Hair Colouring, Shampooing & Hair Blowing

~ assist senior hairdressers with hair dressing work

~ bilingual speaker is prefer

~ able to start work immediately

Duties:

~ Hair Colouring, Hair Treatments, Shampooing & Dry Blowing of customers’ hairs

~ Assist senior hairdressers with hair dressing works

~ Washing, drying, hanging, folding of salon towels

~ general cleaning to maintain cleanliness & tidiness of salon

~ Handling & preparation of hair treatment accessories & devices

R&T Recruitment Management (12C5922)

2 Gambas Cres, #06-22 NORDCOM 2, Singapore 757044

6702 6282

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/)

Exciting opportunity to play a pivotal role in establishing our cutting-edge lab in Singapore! Use your scientific expertise to select top-notch analytical equipment, develop innovative capabilities, and draft meticulous testing protocols. Manage lab inventory to ensure a seamless supply chain, and collaborate with our dynamic teams to refine products and tackle challenges head-on. Your contributions will shape the future of our research, driving impactful results and fostering a culture of innovation and excellence.

• Contribute to the establishment of the lab in Singapore by providing scientific insights, assisting in the selection of analytical equipment, developing capabilities, drafting testing protocols, and managing lab inventory to ensure a continuous supply of consumables and reagents.

• Apply technical expertise to innovate and refine products, addressing both intricate and straightforward challenges. Conduct laboratory experiments, collaborate with technical and commercial teams, scrutinize results, and propose the next steps for experiments or project stages.
• Communicate findings verbally within the research group and through emails and technical reports to the broader business, presenting complex scientific information in an accessible format. While the role does not involve line management, occasional supervision or demonstration to students and less experienced staff may be required.
• Offer recommendations for optimal development routes in projects, ranging from straightforward to complex. Manage and execute multiple projects, ensuring timely results from experiments of varying complexity.
• Generate creative solutions within a designated area, constrained by core science principles. Encourage and propose innovative ideas for new or ongoing projects.
• Continuously enhance knowledge of the technology area and relevant scientific techniques, striving to improve research capabilities.

• Holds a Master's degree with over three years of pertinent experience or Ph.D with 1 year of postdoc experience
• Familiar with the design and evaluation of different vectors (e.g., lipids, polymers, peptides, etc) for NAD. This includes, but is not limited to, the operation of a microfluidics system to formluate LNP; physical-chemical characterisation (e.g., API encapsulation, quantification of loading efficiency, particle size and surface charge); evaluation of in vitro transfection effiency and toxicity; in vivo biodistrubution and toxicity

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV or email to [email protected]

CEI Registration Number: R1985071

EA License Number: 21C0661

Company Registration Number: 201127615

Panasonic

Enriching Lives Through

INNOVATION & TECHNOLOGY

Going beyond just providing good products, we at Panasonic are firmly entrenched in the brief of delivering ideas that will provide a profound impact on people’s lives around the world. At the forefront of this endeavor is ensuring that our ideas are allied with the relentless pursuit of reaching new heights of excellence when it comes to pushing the boundaries of innovation. This allows us to focus on enriching the present and enhancing the future for societies throughout the globe.

We invite enthusiastic and dedicated individuals to join us as:

Image Annotators

Responsibilities:

1. Annotate data meticulously using annotation tools.

2. Apply colour overlays to objects in images as specified by the task requirements.

3. Complete the designated number of annotated images within the specified time frame.

Requirements:

1. Possess basic computer and IT skills (e.g., basic proficiency with MS Office like Word, Excel, PowerPoint)

2. Feel comfortable using a computer regularly.

3. Demonstrate the ability to perform recurring tasks effectively and efficiently with minimal errors.

4. Commit to work 5 days per week.

Remuneration:

The role will be compensated on an hourly basis, with a remuneration of SGD 10 per hour.

Please send e-mail, with a complete resume and academic transcripts by 17th May 2024, to:

PANASONIC R&D CENTER SINGAPORE

202 Bedok South Avenue 1 #02-11 Singapore 469332
Email: [email protected]

Website: https://research.sg.panasonic.com/

(We regret that only shortlisted candidates will be notified.)

Tuition centre looking part time/ full time Math Tutors to teach small group (up to 6 students)

Please register your profile with us here as we have many 1-1/small group tuition assignments available(fill in form take less than 5 mins):

https://tinyurl.com/TuitionCentreJobRegistration

Day/time:

Weekday 430-6pm/ 630-830pm

Weekend: 930- 330pm

Location: Choa Chu Kang/Teck Whye

Salary: $25-35/hr or $70-$140/day/ FT negotiable 2.3-3.5k

Looking for Secondary science tutors to take upper secondary science class or assist main tutor in Chemistry/Physics/Bio

Part time role available: weekday evening (630-830pm) or weekend afternoon (1230-230pm/230-430pm) classes

Preferably someone with experience/familiar with the syllabus and able to commit till the end of academic year 2024.

Job Scope:

• Able to provide a fun and interactive lesson for students
• Improvement of curriculum, creating lesson materials/tests
• Provide parents simple follow up of their child’s learning progress

Requirements:

• Minimum Qualification 5 GCE O levels credits/ Diploma/ A Levels
• Preferably with at least 1 years of experience in teaching tuition centre, student care or taught in group tuition (3 or more student), or 1-1 home tuition
• Commit till the end of academic year (Oct/Nov)

Tuition Centre is expanding and offer a career progression towards assistant centre manager and centre manager role.

Fresh graduates are welcome and trainings will be provided

If you are keen, please fill in this short form and shortlisted candidate will be asked for a Zoom interview

https://tinyurl.com/TuitionCentreJobRegistration

also submit an application through this portal, we will contact you.

Job Highlights

• Wonderful Co-workers
• Competitive Salary
• Job Security

Job Description

Wondrous Mind is looking for part-time teachers to teach small secondary school classes (max at 8 students) of teenagers aged from 13 to 16 years.

If you know teaching is your calling, we want you!

Over at Wondrous Mind, we believe that every child has the potential to succeed and it is our duty to help them achieve their fullest potential. No child is left behind. All teachers aim to deliver our best during our classes.

Responsibilities:

• Conduct lessons according to the centre's curriculum for Secondary 1, 2 Science, Secondary 3, 4 Chemistry [Depending on the class that you are able to take]
• Monitor the performance and progress of each student
• Liaising with parents on student's progress and give constructive feedback and solutions
• Perform other relevant duties

Requirements:

• Able to commit for one full academic year (Until 1st week of Oct 2024)
• Possess a Bachelor's degree
• Passionate about teaching
• Open-minded
• Love for children and patience
• Responsible, be punctual to class and be well prepared before class
• No experience but eager to learn and teach may apply

Working Hours

Part Timer: Weekends

Salary: $30 to $60 per hour [Depending on your teaching experience and qualification]

Training on methodology will be provided for recruited teachers.

Individuals with no experience are highly encouraged to apply, looking out for individuals who are passionate with teaching. Small team with plenty of room for growth.

Interested candidate, please send your resume to [email protected] .

Position only open to Citizens and P.R. Please also indicate the levels that you can teach.

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!

Civil Engineer Job Responsibilities:

• Completes construction projects by preparing engineering design and documents and confirming specifications.
• Designs construction projects by studying project concept, architectural drawings, and models.
• Prepares engineering design by collecting and studying reports, maps, drawings, blueprints, aerial photographs, and tests on soil composition, terrain, hydrological characteristics, and related topographical and geologic data.
• Determines project costs by calculating labor, material, and related costs.
• Creates feasibility study by analyzing engineering design, conducting environmental impact studies, and assembling data.
• Produces engineering documents by developing construction specifications, plans, and schedules.
• Confirms adherence to construction specifications and safety standards by monitoring project progress, inspecting construction site, and verifying calculations and placements.
• Fulfills project requirements by training and guiding operators.
• Maintains operations by enforcing project and operational policies and procedures.
• Provides engineering information by answering questions and requests.
• Complies with federal, state, and local legal requirements by studying existing and new legislation; anticipating future legislation; enforcing adherence to requirements; and advising management on needed actions.
• Maintains project database by writing computer programs, entering data, and completing backups.
• Contributes to team effort by accomplishing related results as needed.

Requirements and skills

• Proven working experience in civil engineering
• Excellent knowledge of design and visualizations software such as AutoCAD,Civil 3D or similar
• Proficiency in site layout, grading, utility design, erosion control, regulatory approvals etc
• Project management and supervision skills
• Strong communication and interpersonal skills
• License of professional engineer
• B.E/MA in Civil Engineering

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

Admin Executive & Receptionist

ㅤEmbark on a meaningful career to make a real difference in the lives of children!

ㅤScience Studios is a leading education centre specialising in the teaching of primary school science through engaging experiments and excellent printed materials. Learning at Science Studios is also supplemented by, and enhanced through, proprietary online resources.

ㅤWe believe children should enjoy learning in order to achieve better grades. We go the extra mile to carefully design, prepare, and deliver each lesson so that students are engaged and have fun learning. For many students, coming to Science Studios is one of the highlights of their week! If you want a positive work environment where you can make a real difference, this is the right place for you!

ㅤWe currently have 3 branches across Singapore: West (Bukit Timah Plaza), Central (Balmoral Plaza) and East (Eastgate at Katong). Do let us know if you prefer to work at one of the locations.

Job Description:

• Communicate with customers regarding SS programmes, fees, replacement classes, etc.

• Prepare apparatus for experiments. This includes purchasing and maintaining inventory.

• Mark quizzes and monitor students’ progress to help them achieve better grades.

Requirements

+ Passionate about enriching children's lives through effective education.

+ Maintain high standards with a strong attention to detail. Thorough and accurate when accomplishing assigned tasks.

+ Able to work one and a half weekend days (Sunday from 12 noon, and Saturday).

[2 weekdays, including Fridays, will be rest days. You’ll be able to avoid weekend crowds on your rest days. Furthermore, there is no need to work on most weekends in June and December.]

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.

We are looking for ambitious, motivated and result-oriented individuals to be an Editor in our dynamic Editorial Team. Prospective candidates must be able to work in Singapore.

Responsibilities

• Acquire academic contents for books and journals in Science, Technology, Engineering, and Mathematics (STEM) topics.
• Manage and develop journals to improve both the quality and profitability of the journals concerned.
• Responsible for the full editorial process from manuscript to publication, including liaising with authors, reviewers, typesetters, printers, and designers, as well as preparing necessary paperwork and contracts.
• Cultivate positive relationships with authors, reviewers, editorial board members, key advisors, colleagues from various departments and other stakeholders to foster stronger collaboration.
• Ensure the commercial value of acquired titles by, e.g., analysing the time and cost of production, to maintain a steady and profitable revenue stream.
• Research and prepare statistics for market trends and prioritize publication that best suit current market trends.
• Participate in marketing and promotion activities for books and journals.
• Any ad hoc projects as and when required and assigned.

Requirements

• Degree in Science, Technology, Engineering, Pure Mathematics/ Applied Mathematics/ Statistics.
• Effective verbal and written communication skills and analytical skills, and excellent interpersonal skills at all levels.
• Must have initiative, creativity, and a keen eye for detail.
• Must be able to execute all duties diligently to achieve professional success and also enhance the business of the organization.
• Prior experience in academic publishing will be given preference.

Singapore University of Technology and Design immediately invites applications for multiple Research Assistant positions to work in Singapore, in the following areas:

· Robust perception, planning, and control for field robots
· Simultaneous localization and mapping
· Experimental robotics
· Novel mechanism synthesis and analysis

The position requires a M.Eng./M.Sc. in Engineering Product Development/Information System/ Mechanical/Electrical and Electronics/Computer Engineering or a related area.

Candidates are expected to possess experience in field robotic systems as evidenced by developmental project experiences/publications. Strong commitment to research and development is essential.

Job Scope:

The job scope includes the design and implementation of natural language processing algorithms that can perform fundamental research in the field of natural language processing, which can lead to significant research outputs.

Qualifications & Skills:

• Bachelor’s / Master's degree in computer science or related discipline
• Strong background in statistics, mathematics, system implementation, software engineering, and programming ability
• Track record of research experience and publications in the area of artificial intelligence, machine learning, information extraction, and natural language processing
• Proven experience in the implementation and evaluation of machine learning algorithms

The Singapore University of Technology and Design (SUTD) has a Research Assistant position in software engineering and computer science education research. The Research Assistant will be required to engage in the design, development, testing, and integration of tools that provide automated feedback and scoring for programming submissions. The Research Assistant will also support research user studies to test the tools for usability and its efficacy for learning. The Research Assistant will have the opportunity to participate in writing research publications about their work. The work environment is friendly and intellectually stimulating.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field.
• The development of these technologies requires experience in Python and JavaScript programming, familiarity with the Linux/Unix OS, and associated compilation/build tools.
• Experience with web frameworks, API development, chatbot development, and Large Language Models is advantageous.
• Prior experience in software development is advantageous.
• Diploma holders with a minimum of two years of experience with programming projects using Python and JavaScript are welcome.

Interested candidates may apply, along with a copy of their most recent CV, by writing to Oka Kurniawan [email protected].

Job Position: Research Engineer

Job Description

We are seeking machine learning and image recognition specialist to join our project team. The ideal candidate preferably has the background in machine learning techniques and image recognition algorithms to solve complex problems and improve project outcomes. You will work closely with a multidisciplinary team to develop, implement, and optimize ML models that are critical to the success of our projects.

• Design, develop, and deploy machine learning models and image recognition algorithms tailored to project-specific requirements.
• Collaborate with cross-functional teams to understand project needs, gather, and analyse requirements, and deliver ML-driven solutions.
• Conduct data collection, preprocessing, and augmentation to create training datasets.
• Implement and optimize image recognition models for accuracy, efficiency, and scalability.
• Evaluate model performance using appropriate metrics and make necessary adjustments to improve outcomes.
• Stay abreast of developments in machine learning and image recognition fields to incorporate cutting-edge technologies and methodologies into project solutions.
• Document model development processes, algorithms, and performance metrics.
• Provide technical guidance and mentorship to team members on machine learning and image recognition best practices.

Required/Desired Skills

• Experience in machine learning and image recognition, with a strong portfolio of project work that demonstrates expertise in these areas.
• Proficiency in programming languages such as Python, and familiarity with ML libraries (e.g., TensorFlow, PyTorch) and computer vision libraries (e.g., OpenCV).
• Experience with deep learning architectures (CNNs, RNNs, GANs) specifically designed for image processing tasks.
• Analytical skills with the ability to solve complex problems independently and as part of a team.

Required/Desired Qualifications

• Bachelor’s or master’s degree in Electronics & computer science, Artificial Intelligence, or a related field.

Experiences

Minimum 3 years’ experience in machine learning and image recognition within a technology/research organisation. Fresh graduate with relevant knowledge and skills will be considered.

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.