Total 46 research associate job vacancies in F&B / Tourism / Hospitality category in D23 Hillview, Dairy Farm, Bukit Panjang, Choa Chu Kang

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhDin ML, NLP, speech and spoken language processing and multi-modal AI with at least 5 years of relevant experience
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

Job description

We are looking for candidates to join the fusion energy effort in the newly formed Plasma Physics & Energy Group (PPE), Institute of High Performance Computing, A*STAR. PPE focuses primarily on microwave plasma diagnostics and RF heating and current drive (H&CD), with an emphasis on solving the challenges faced by future fusion energy systems. The new hire is expected to contribute to, and potentially lead, research in magnetic confinement fusion. This includes analytical, computational, and experimental approaches, with the particular emphasis dependent on one's interests and skillset. While the new hire will begin by working on existing projects in plasma diagnostics, participation in grant calls as a Principal Investigator is highly encouraged.

The key scope of work includes:

• Understanding the physics of fusion plasmas, plasma diagnostics, and RF H&CD.
• Working closely with the rest of the team to develop, validate, deploy, and maintain analysis codes to better interpret diagnostics data from fusion experiments.
• Writing grants and developing the direction of fusion research in IHPC.
• Supervising students and interns (optional).
• Supporting local and international collaborators in fusion research.

Job Requirements

• PhD in Physics, Plasma Physics or equivalent with a background in magnetic confinement fusion, such as in plasma physics and/or engineering
• At least 5 years of experience
• Deep knowledge in at least one of:

Theoretical plasma physics (such as plasma waves, turbulent transport).

Computational plasma physics (such as fullwave, beam tracing, gyrokinetics).

Plasma diagnostics (including hardware experience). Candidates with an experimental inclination will be encouraged to travel to international collaborators' experiments for extended periods.

• Proficiency in programming languages such as, but not limited to, Python, C/C++, and Julia.
• Good interpersonal and communication skills, ability to adapt and work effectively as a member of a team, strong communication and excellent writting skills
• Demonstrate resourcefulness and be self-motivated with a high degree of professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Understanding the pharmaco/ nutrico/ toxicokinetic behaviour of drugs, chemicals and food ingredients is a fundamental step in assessing the efficacy and safety of these materials. It can be challenging to study such substances directly in human subjects, while animal models lack direct translatability to humans due to inherent differences in species biology. One promising strategy is the use of physiologically-based pharmacokinetic (PBPK) modelling to predict the local tissue and systemic exposure of these substances. We have developed in-house in vitro and in silico tools to model chemical absorption, distribution, metabolism and excretion (ADME) in humans using data generated from in vitro assays. We apply these tools to predict pharmacokinetic profiles in different settings, ranging from oral or transdermal administration to studying special populations such as pregnant women, for a variety of substances including pharmaceuticals, food ingredients, environmental contaminants, essential micronutrients and microbial metabolites. These capabilities are further enhanced with state-of-the-art, enabling technologies such as the SHIME® intestinal digestion simulator and spatial mass spectrometry imaging.

The candidate in this position will be expected to be involved in the following activities:

• Literature search to extract relevant ADME data for chemicals of interest.
• Perform in vitro absorption, transporter, metabolism, fraction unbound and other related ADME assays.
• Quantify membrane protein, metabolic enzyme and xenobiotic concentrations within biological samples using liquid chromatography-tandem mass spectrometry (LC/MS/MS) instruments.
• Integrate appropriate in vitro and in silico data into PBPK models to predict the ADME of chemicals.
• Develop new and/or improve features of in-house models, including pharmacodynamic modelling.
• Write scientific grant proposals, maintain laboratory notebooks, prepare scientific reports, presentations and manuscripts.
• Supervise and train students and interns.

Qualifications

• PhD in Pharmaceutical Science, Life Sciences or equivalent.
• Strong understanding of ADME and pharmacokinetic concepts is essential.
• Prior experience in in vitro ADME assays and analytical mass spectrometry workflows is desirable.
• Prior experience with PBPK tools such as Simcyp®, GastroplusTM, PK Sim, Matlab/ Simbiology or other models is desirable.
• Able to work in a multi-disciplinary team, possess strong organizational and project management skills, demonstrate initiative and able to work independently.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description

• Prepare ingredients and materials needed for testing and trials.
• Record data related to recipes, cooking times, temperatures, and ingredient combinations.
• Collaborate with the R&D Chef during cooking, baking, or other food preparation processes to test new concepts.
• Ensure samples meet specific requirements such as taste, texture, and appearance as per customer specifications.
• Maintain accurate documentation of all trial outcomes, product formulations, ingredient lists, and adjustments
• Ensure products and processes align with food safety standards
• Work closely with quality assurance, production, and procurement teams to ensure the product development process aligns with production capabilities and quality standards.
• Support R&D Chef in aligning new products with manufacturing requirements for large-scale production.
• Participate in taste tests to assess flavour, texture, appearance, and overall quality of products.
• Assist in organizing the R&D kitchen, ensuring it is properly stocked with necessary ingredients and equipment.
• Support the R&D Chef in managing time-sensitive tasks and ensuring that product development timelines are met.

Requirements

• Diploma or Degree in Culinary Arts, Food Science, Food Technology, or a related field.
• At least 1 year of experience in a kitchen or food production environment
• Basic food science knowledge: Ability to understand product formulation, ingredient functionality, and shelf-life considerations.
• Proficiency in Microsoft Office (Word, Excel) and ability to maintain proper documentation for trials, formulations, and product specifications.
• Willingness to work in a fast-paced, dynamic environment

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Responsibilities:

• Assist in setup & breakdown of the restaurant.
• Assist your Service Leader in organising table seating and preparing tables.
• Greeting of customers and providing an enjoyable dining experience for all customers.
• Presenting menus/ directing customers to our menu QR code on the tables.
• Serve water and refill glasses as and when needed.
• Ensure the timely delivery of food/beverage orders.
• Complete opening and closing side work.
• Ensuring side stations are stocked and cleaned. Regular checks.
• Assisting in cleaning up of spills and ensuring table cleanliness at all times.
• Complete housekeeping functions where necessary (ie. cleaning, sweeping, mopping, emptying trash and etc.)
• Handling of customers' queries in a friendly and professional manner.
• Facilitating and assisting Service Leader in any other requirements.

JOB REQUIREMENTS

• Fluent in spoken and written English.
• Minimum 1 year’ experience in restaurant service/ F&B industry, experience as a barista will be a plus.
• Basic certification in restaurant service is desirable. A combination of practical experience and education will be considered.
• Outstanding Customer Service, focused and oriented.
• Full time flexible hours are required (able to work days, nights, weekends, holidays).
• Strong communication skills with the ability to promote sales and resolve conflict.
• Positive, Cheerful, Energetic, Fun and Friendly.

JOB DESCRIPTION

This position is responsible for the strategic planning and development of facilities in support of the workspace (research and office) needs.

Central to it is to formulate master plan of space needs, market and financial analysis strategies, conceptualize and engage stakeholders and users to co-develop a workplace which is financially and environmentally sustainable.

KEY ACCOUNTABILITIES

Strategic Planning
Support the development of long-term space plans and utilization strategies for the entire portfolio of A*STAR"s space, considering factors such as research needs, future growth projections.

Compliance and Regulations

Conduct due diligence and advise management on whether space planning initiatives comply with building codes, regulations, and industry standards across different locations. Assist to conduct detailed assessments of multiple sites owned by A*STAR, understanding the layout, structural nuances, and potential for optimization across various locations.

Stakeholder Management & Implementation

Collaborate with facility team, and stakeholders/ users at each site to understand specific needs, align on objectives, and ensure smooth implementation of space plans.

Space Standardization

Assist in developing and implementing standardized space plans or design guidelines across multiple sites to ensure consistency in space norms and functionality while accommodating specific building requirements.

Optimization & Cost Management

Identify opportunities to optimize space, reduce inefficiencies, and improve overall space utilization across multiple properties. Balancing design improvements or renovations with cost-effectiveness, ensuring that space planning initiatives align with the budgetary considerations.

Performance Evaluation

Assist to track and evaluate the performance of implemented space plans, gathering feedback, and make adjustments to continuously improve space utilization and yet meet research needs.

REQUIREMENTS

1. Possess at least 8 years of relevant experience in either policy & planning / asset portfolio management related fields.

2. Background in Civil Engineering and experience in managing R&D space planning would be advantageous.

3. Possess strong leadership skills in leading multi-disciplinary teams.

4. Confident to communicate at all levels and able to think creatively and apply strategic thinking to tasks.

5. Able to work under pressure and adapt to changes within a fast-paced environment.

6. A self-driven and meticulous individual who has the strong ability to multi-task.

ROLE:
A*STAR-IME is spearheading the establishment of the Silicon Carbide (SiC) R&D program. This initiative aims to advance 200mm Silicon Carbide technologies across various areas including epitaxy, device design, process integration & fabrication, and power module packaging. The primary goal is to catalyze disruptive innovations in power device research, focusing particularly on >1.2KV power MOSFETs. These innovations are targeted towards enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. One of the critical challenges in SiC MOSFETs fabrication lies in gate stack formation and interface characterization. For this purpose, a skillful lead with hands-on experience, proactive motivation, quick learning abilities, and strong interpersonal skills is being sought to contribute to gate stack design and interface characterization. This candidate will be also groomed to lead a front-end team of ~5 headcounts for wide-bandgap integration in the next 3 years.

RESPONSIBILITIES:

• Candidate will perform detailed design of experiments for gate stacks optimizations; aimed to develop highly reliable SiC MOS gate module technology.

• To conduct hands-on work for MOSCAP process & interface characterizations, including MOS CV & variable frequency CV analysis, DLTS characterization, and more.

• Responsible for analyzing electrical test data, benchmarking with publicly available results, and apply established physics-based theories of interface trap behavior in 4H-SiC

• Collaborate with the project members to ensure gate oxide goals meet performances, quality, and reliability standards aligned to customer expectations

• Ensure that design of experiments stays on schedule and mitigate overall risks

• Engage with diverse teams, including process integration, characterization, and advanced process modules, to analyze & debug device/process-related challenges

• Working closely with internal and external customers to understand their demands and mitigate their issues

REQUIREMENTS:

• PhD Degree in Electrical Engineering or related field

• Up to 3 years of relevant industry experience

• MOSCAP layout design with good understanding of the gate interface, gate dielectric materials at the atomic level and ALD of high-k dielectric materials will be required

• Solid understanding of MOSFET and HEMT device physics, preferably with SiC and GaN materials

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

ROLE:
A*STAR-IME is leading the way in establishing industry first 200mm open Silicon Carbide (SiC) R&D program. The program specific focus is on advancing 200mm SiC technologies in key areas such as epitaxy, gate stack, ion implantation, and dry etching, and integrating these modules to fabricate high-performance power devices. Our objective is to drive innovation in power device research, particularly in power MOSFETs rated above 1.2KV. Developing key innovative process is crucial for creating high-performance devices that will contribute to advancements in automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. This role involve growing leadership into ion implantation processes for p-body, channel, guard ring, source contact, and other components. We are currently seeking such individual with ~5 years of experience in ion implantation. The chosen candidate will be responsible for independently supervising ion implantation processes, conducting ion implant simulations, possessing knowledge of crystallography and ion interaction with atoms, having strong understanding of implanters and related thermal processing physics, beam optics, dosimetry systems, and vacuum technology. The ideal candidate should also be willing to collaborate with various departments, the technology development group, and customers. Furthermore, the candidate will contribute to the wide-bandgap team by sharing the ion implantation expertise on compound semiconductor materials and collaborate with other departments working with Si-based technology. The candidate will also be groomed to lead this diffusion process module group of ~6 headcounts into the future.

RESPONSIBILITIES:

• Diagnose malfunctions and using test equipment & software to test faulty tool; applying knowledge of the functional operation of the ion implant equipment

• Support on-site ion implanters in creating, running & characterizing recipes for recipe validation and develop process to achieve the desired dopant profile with excellent
damage recovery.

• Collaborate with vendors to optimize equipment performance and reduce tool downtime

• Analyze data related to implant-related defects formation with quantification and defects minimizations strategy

• Examine work-orders and communicates with equipment operators to resolve equipment problems & determine mechanical and human errors contributed to the issues

• Perform scheduled preventive maintenance tasks with tool operators, especially in checking, cleaning, repairing, detecting and preventing problems

• Responsible for designing experiments for ion implantation at various dose, energy, tilt, and twist levels

REQUIREMENTS:

• Ms/PhD Degree in Electrical Engineering or related field

• >3-5 years industrial experience for high power device design and modeling

• Extensive proficiency in medium to high energy/current ion implantation processes, including a comprehensive knowledge of implant equipment, equipment parts, and
troubleshooting techniques to minimize equipment downtime

• Good understanding of wide bandgap semiconductor materials and their corresponding dopant species

• Expertise in ion channeling, ion bombardment, and their impact on the implant species profile

• In-depth comprehension of defect formation and annihilation processes in the implanted region of semiconductors

• Familiarity with essential device properties resulting from ion implantation

• Adept at mentoring and transferring knowledge to junior staff members

ROLE:
A*STAR-IME is spearheading the establishment of the Silicon Carbide (SiC) R&D program. This initiative aims to advance 200mm Silicon Carbide technologies across various areas including epitaxy, device design, process integration & fabrication, and power module packaging. The primary goal is to catalyze disruptive innovations in power device research, focusing particularly on >1.2KV power MOSFETs. These innovations are targeted towards enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. One of the critical challenges in SiC MOSFETs fabrication lies in gate stack formation and interface characterization. For this purpose, a skillful lead with hands-on experience, proactive motivation, quick learning abilities, and strong interpersonal skills is being sought to contribute to gate stack design and interface characterization. This candidate will be also groomed to lead a front-end team of ~5 headcounts for wide-bandgap integration in the next 3 years.

RESPONSIBILITIES:

• Candidate will perform detailed design of experiments for gate stacks optimizations; aimed to develop highly reliable SiC MOS gate module technology.

• To conduct hands-on work for MOSCAP process & interface characterizations, including MOS CV & variable frequency CV analysis, DLTS characterization, and more.

• Responsible for analyzing electrical test data, benchmarking with publicly available results, and apply established physics-based theories of interface trap behavior in 4H-SiC

• Collaborate with the project members to ensure gate oxide goals meet performances, quality, and reliability standards aligned to customer expectations

• Ensure that design of experiments stays on schedule and mitigate overall risks

• Engage with diverse teams, including process integration, characterization, and advanced process modules, to analyze & debug device/process-related challenges

• Working closely with internal and external customers to understand their demands and mitigate their issues

REQUIREMENTS:

• PhD Degree in Electrical Engineering or related field

• Up to 3 years of relevant industry experience

• MOSCAP layout design with good understanding of the gate interface, gate dielectric materials at the atomic level and ALD of high-k dielectric materials will be required

• Solid understanding of MOSFET and HEMT device physics, preferably with SiC and GaN materials

Senior Scientist for Advanced Photonics

As part of IME’s Photonics & Sensors Department, the candidate will take the lead for the development of advanced photonics integration. This could include but not limited as photonic heterogeneous integration by bring various best-in-class materials into silicon wafer, electro-photonics integration, etc. You will work closely with an excellent multidisciplinary team involving photonics, semiconductor process, and fab operation.

Responsibilities:

• Development of various photonics integration capabilities with 8-inch and 12-inch facilities, with emphasis on photonics heterogenous integration.
• Design and fabricate various advanced photonics components and integrated circuits aiming for next-generation photonic applications.
• Design of Experiments (DOE) for both design and process margin checking and control.
• Process metrology data taking, device / circuit performance data taking.
• Data analysis and documentation
• Preparation of technical presentations and papers for internal meetings, as well as conferences and journals.
• Collaborate with project team to ensure quality and on-time delivery for various projects.
• Performs other duties as assigned.

Qualifications:

• PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent
• Strong hands-on experience in photonics integration.
• Hands-on experience in photonic simulation using various electrical / photonics design software.
• Strong communication, industry awareness, and problem-solving skills.
• Minimum 5 years project management skill.
• Strong self-motivation and interest in the next-generation photonics technology development.
• Industry experience is a plus.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.