We are looking for one (1) Research Fellow for research activities in the following areas:

1. Theory and computational modeling of electromagnetism in media, plasmonic systems, and metamaterials, including cavity quantum electrodynamics.
2. Inverse design in nanophotonics or quantum nanophotonics.
3. Application of plasma modeling tools like particle-in-cell and magnetohydrodynamics to plasmonic or excitonic systems.
4. Study novel optoelectronic effects in low-dimensional materials and time crystals.

The applicants should have a Master's degree (for the Senior Research Assistant position) or a Ph.D. degree (for the Research Fellow position) in Physics, Applied Physics, Engineering, or Applied Mathematics. Preference will be given to those with a strong publication record, open-minded, independent, and able to collaborate with other team members and experimental partners. Ph.D. students (graduating within 6 months) with relevant expertise are also encouraged to apply. Senior Research Assistants are expected to pursue Ph.D. degrees upon completing the contract if deemed suitable.

Technical requirements:

1. Ability to formulate physical models and solve the formulated equations analytically or numerically.
2. Strong foundation in numerical simulation, including developing and modifying existing codes to include multiple physics.
3. Solid foundation in electromagnetism, quantum mechanics, solid-state physics, material sciences, and computational methods like finite-difference-time-domain, finite-element, particle-in-cell, etc.

Essential Duties and Responsibilities:

• Demonstrates and promotes the company vision
• Regular attendance and punctuality
• Applies GMP/GLP in all areas of responsibility, as appropriate
• Learns to conduct routine analyses in compliance with applicable methods, protocols, SOPs, and regulatory agency guidelines.
• Learns how to document work and maintain study documentation and laboratory records.
• Learns how to use laboratory equipment and software appropriate for assigned tasks.
• Attends and participates in project meetings.
• Learns to perform peer review of data.
• Learns to plan assigned workload on a daily basis and effectively schedule multiple assignments.
• Contributes to a cohesive team environment.  Plans individual workload in coordination with team members.
• Maintains a clean and safe laboratory work environment.
• Conducts all activities in a safe and efficient manner
• Performs other duties as assigned

We’re looking for a Customer Support Associate to join our team in Singapore. This role is a unique opportunity to have an impact on Wise’s mission in helping our customers have a great experience when using Wise.

Your mission: 

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. Your mission is to help customers have the best experience possible with our product working across email, phone and chat.

The role will give you the opportunity to:

• Help customers have the best experience possible with our product working across email, phone and chat

• Be flexible working during business hours but sometimes covering an early morning (from 5am) and weekend shifts

• Go above and beyond the call of duty: work with less supervision and solve complex problems working with other teams while still achieving your KPIs

• Grow through mentoring and side projects with other teams, developing your skills and figuring out how to have a big impact on our customers

• Work with Empowerment – at Wise you get in what you put out so you’ll need to take the initiative when it comes to your career progression

Established in 2017, QCP is one of the first digital asset trading firms in Singapore, with a vision to partner the next generation of investors to unlock institutional opportunities in digital assets.

As a global market maker in digital asset derivatives, we shape the future of the market through efficient access and a vast network, providing tailored derivatives, spot trading, structured solutions, and 24/7 liquidity across various exchanges

QCP is headquartered in Singapore and is supported by a strong team of professionals in trading, business development, operations, risk and compliance teams.

We're building a groundbreaking quantitative digital asset management team and are searching for an Investor Relations and Market Associate to join us.

Responsibilities

You will play a key role in managing and enhancing relationships with investors – crafting investor communications, supporting marketing and capital-raising initiatives, and ensure seamless communication between the fund and its stakeholders. This role offers the opportunity to work closely with senior leadership and gain deep insights into the convergence of the digital asset and hedge fund space.

• Maintain the investor database and develop a process to track communications and engagement
• Prepare and distribute regular investor updates, performance reports, and newsletters
• Assist in the development of marketing materials (pitch books, presentations) and provide support during fundraising activities and investor meetings
• Conduct market research and fund analysis to inform outreach strategies
• Facilitate smooth onboarding and due diligence processes for investors
• Serve as a key point of contact for investor inquiries and provide timely, professional responses

• Diploma/Degree in Business (Finance, Marketing), Economics or related field
• At least 2 years of relevant work experience in investor relations, financial services, investment management
• Keen attention to detail and the capacity to effectively manage multiple priorities
• Strong networking abilities and a passion for building relationships
• Strong analytical skills, financial knowledge, and excellent communication and interpersonal abilities
• Knowledge of financial markets, crypto and investment management is advantageous
• Native-level English proficiency (written and spoken) and good Mandarin (written and spoken) is mandatory
• Experience engaging institutional clients and investors is advantageous

The Environment We Offer

As a growing firm with a tightly-knit team, we respect and listen to all our employees. You will get the chance to make an impact by having your voice heard by everyone, including the management.

Our employees enjoy a high level of autonomy at work. We focus on substance, not form - as long as you can perform, you will be recognized and rewarded. We are also dedicated to supporting our staff and ensuring they develop holistically to maximize their potential in the long- term.

We also provide flexible working arrangement as required and a casual and fun environment to boot!

Roles & Responsibilities:

To establish continuity with our key client as the trusted partner, provide leadership to the

regional and operational Program Management Office team, and build on the high-value

program management service in line with the global framework.

· Be the key client interface for all Real Estate stakeholders 

· Providing subject-matter expertise to the client in all areas of capital programs and

projects in Real Estate, bridging the opportunity and deliverables to the client’s

enterprise standards and strategic objectives.

· Managing and leveraging of the resources available at the Program Management

Office, and the wider Turner & Townsend business to provide a high-value service to

the client.

· Building on the legacy as a trusted partner with the client, bringing value delivery to

the Program Management Office service, providing advisory based on sector and

industry knowledge.

· Providing the key link between the peer regions, central and offshore program

management teams, the client’s internal and external delivery teams, and

supporting business units, driving excellence in capital programs.

· Reach back and two-way knowledge transfer between related capital project delivery

teams under the client’s framework, and peer Program Management Office teams

working on similar Real Estate portfolios within Turner & Townsend business.

· Full-time client facing, managing a team of client’s stakeholders, working with the

regional leadership team, portfolio managers and planners.

Reporting to the Associate Director of Client Operations, this is a unique opportunity to join a dynamic, fast-growing company in Financial Services.

You Will:

• Provide a full range of fund accounting services to private equity clients, including NAV preparation, booking accruals, security pricing, performing cash and security position reconciliations.
• Prepare pricing of portfolios ensuring all holdings are priced observing the applicable fund documents and valuation policies.
• Prepare capital call, distribution calculation and allocation.
• Prepare fee schedules including calculation of management fee and waterfall, ensuring all calculations observe applicable fund documents.
• Prepare Investor allocations for each NAV cycle ensuring capital transactions are booked correctly and P&L is allocated correctly.
• Prepare NAV packages and other ad hoc deliverables as defined in the service level agreements.
• Complete other ad hoc requests and projects.
• Communicate with internal MUFG teams and external clients, ensuring all deliverables and requests are met.
• Prepare/Assist with audited Financial Statements, audit assistance, and other regulatory services, as applicable.

Your mission: 

• Communicating with Wise's business customers and helping them over the phone and via email whilst forming valuable, long-lasting relationships. 

• Collaborating internally with operational and product teams to make sure that we are providing the best service and custom solutions for our business customers.

The role will give you the opportunity to:

• Be a Problem Solver: With a customers-first mindset and empathy, enable a smooth customer experience for our business customers

• Go above and beyond the call of duty: work with less supervision and solve complex problems by working with other teams

• Grow through mentoring and side projects with other teams, developing your skills and figuring out how to have a big impact on our customers

• Work with Empowerment - at Wise you get in what you put out so you’ll need to take the initiative when it comes to your career progression

As an AI research engineer, the candidate will work on an automatic disassembly for EoL waste management. The candidate will assist in:

• Research and evaluate state-of-the-art open and closed-source LLM models and Retrieval-Augmented Generation (RAG) techniques
• Process unstructured technical documents from automotive and EV products to extract relevant text and images using multi-modal LLM
• Assist in developing and refining LLM and RAG models to improve performance, accuracy, and efficiency.
• Collaborate with the team to integrate AI models into broader systems or applications, considering scalability and deployment strategies.
• Document findings, methodologies, and outcomes, contributing to internal reports and potentially patent applications.
• Engage in team meetings and contribute to brainstorming sessions aimed at driving project success.

As a robotics research engineer, the candidate will work on developing a new testbed towards automation autonomous disassembly process in e-waste management. The candidate will assist in:

• Development of the testbed to integrate sensors, robots, conveyor belts, workbench, controllers, etc.
• Programing and integrating industrial robots to perform tasks such as pick-n-drop and execution of disassembly action.
• Development and maintenance of prototype applications based on controllers such as Raspberry Pi and Arduino
• Improving trajectory planning algorithms to ensure high throughput of operations such as pick-n-drop
• Developing automated robot trajectory planning for robotic 3D scanning and disassembly, and automated generation and execution of disassembly actions.
• Closely communicate with other teams and presentation slides

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.