Total 329 Science / R&D / Research job vacancies in 44421 20th Street East Space G-3 Lancaster, CA 93535

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

Responsibilities

• Preparing and arranging of food ingredients to meet the daily production demands
• Operating a variety of kitchen appliances including mixer and ovens
• Packaging of finished products to be sent to outlets / hotels
• Maintaining the cleanliness in the kitchens including cooking surfaces and equipment and utensils
• R&D new products

Qualities:

• Min 1 year of relevant working experience appreciated
• Should possess passion and interest in pastry-making
• A team player who works efficiently to fulfil the production demands
• Willing to learn new recipes and harness new methods of production

Working Hours:

• 8-9 hours work per day (8/9amam to 5/6pm)
• 6 days’ work week

Employee Benefits:

• Medical benefits
• Annual Leave
• Performance incentive
• Staff discount

Interested applicants, you may either apply via here or sent an email at hr@harrianns.com.

At present, we do not require assistance from recruitment agencies. All applications should be submitted directly by candidates.

A postdoctoral research fellow position is available at the Singapore University of Technology and Design (SUTD). The research focuses on semantic communications, resource allocation, and edge AI.

Candidates with strong publication records in relevant areas are encouraged to apply. The candidate should have:

• A recent PhD degree in communications and networking, computer sciences, operations research, or applied mathematics
• Strong publication record in top-tier IEEE / ACM / OR / Math conferences/journals
• Proficient in oral and written English

Kindly note that only shortlisted candidates will be notified.

The NSoE Phase II IoT Sector is looking to hire Research Fellows. Each Research Fellow will contribute in at least one of the following:

1. Research on automated vulnerability discovery (e.g., via Fuzzing) in IoT (Wireless) networked systems;
2. Research on IoT honeypot and threat intelligence.

Qualification & Experience:

• PhD degree in Computer Science, Computer Engineering, or related field.
• Demonstrated expertise in computer networks and/or software testing and/or software security and/or applied machine learning.
• Track record of strong R&D capability, with publications at leading cybersecurity conferences and/or journals.
• Working knowledge of the C/C++ or Python programming language.
• Working knowledge in binary analysis and code reverse engineering is advantageous.
• Familiarity with 5G and Wireless Networking is advantageous.

Our Robotics and Automation Research (ROAR) Laboratory at SUTD is a leading research laboratory specializing in reconfigurable robotics and has contributed to significant intellectual outcomes, novel robotic platforms, impactful applications, patents, and commercial products. We have developed a new branch of robotics namely tiling robotics and a stream of associated research topics.

Your primary responsibilities include:

• Designing and developing reconfigurable robotic platforms to achieve project goals and KPIs (spanning surveillance, maintenance, and payload-carrying robot platforms)
• Implementing and researching specifications for various subsystem components, component analysis, designing for durability, maintainability, and estimating physical constraints required to achieve expected functionality and reconfigurability
• Have a strong publication background and should be able to formulate and design experiments to test and analyse different electromechanical systems and subsystems in robots.
• Have a good understanding of the electrical system of the robot so as to optimize the mechanical designs
• Have a strong understanding of the PCB design and fabrication
• Have a strong understanding of different manufacturing processes and manufacturing constraints
• Designing mounts for onboard sensors and computing equipment with consideration for dust and waterproof requirements
• Simulating using CAD Solidworks for FEA analysis and Keyshot demonstration
• Experience with electrical and electronic components and the use of fabrication and soldering set is strongly preferred
• Able to effectively work in a multi-disciplinary team and with third-party vendors
• Able to effectively communicate ideas and take constructive criticism

Requirements:

• PhD degree in Mechanical Engineering, Electronics Engineering or related field
• Strong experience with mechanical design softwares and manufacturing processes
• Electromechanical system design experience is strongly preferred

Position: Science Teacher

Location: Suffolk

Start Date: ASAP

Type: Full-time

Step Teachers are looking for a dedicated and enthusiastic Science Teacher to join a highly regarded secondary school in Suffolk. This is a long-term supply role to commence ASAP.

Science Teacher – Role:

• Deliver engaging and differentiated lessons in Science.
• Maintain a clean, tidy, and considerate classroom environment.
• Mentor and inspire students, fostering a passion for learning.
• Build and cultivate positive relationships with students, encouraging good behaviour and engagement.
• Collaborate effectively with colleagues and support staff.
• Adhere to and implement the school's policies and contribute to their supportive educational ethos.

Science Teacher – Requirements:

• Recent experience as a Science Teacher in a mainstream school setting.
• A relevant Science degree is desirable.
• Commitment to fostering a positive and inclusive learning environment.

Why Step Teachers?

With a rich history spanning over two decades, our teacher recruitment agency proudly serves North London, East London, Hertfordshire, Norfolk, Suffolk, Cambridgeshire, Oxfordshire, Cornwall, and Devon. We foster exclusive relationships with schools and academies in these regions. Our dedicated team, stationed in branches across Barnet, Enfield, Havering, Norwich, Cambridge, Abingdon, and Plymouth, is committed to supporting and nurturing teachers. Explore rewarding opportunities with our trusted education recruitment services.

Step Teachers are an agency listed as an approved supplier on the Crown Commercial Service and is proud to be REC audited. This ensures we are carrying out comprehensive checks in line with the REC Code of Professional Practice and are fully committed to safeguarding and promoting the welfare of children and young people. Upon registration, candidates will be subject to a variety of checks including an enhanced DBS check, full references including your most recent employer, and verification of eligibility to work in the UK.

Weekly pay is processed through PAYE. We offer high street, travel, gym membership and many other exclusive discounts, along with physical and emotional well-being services as standard with our pay portal.

Recommend a friend and receive up to £200 of Amazon vouchers – If you know anyone who is looking for temporary, permanent or supply work then get in touch with us today!

Class Act Teaching Services are the leading supply teaching agency in Oxfordshire and we are currently looking for a Science Teacher in a Secondary School in Oxford. This is a supply role where no planning is required as the lessons have already been set. The school are looking for a Science Teacher to start as soon as possible and continue until the end of the academic term.

This Secondary Academy has it’s visions and values rooted in their curriculum and their everyday actions. The school are committed to the student’s learning and also their development as individuals who can flourish in the community.

Science Teacher Role:

• Strong knowledge of the Science Curriculum
• Upkeep a tidy, organised classroom with safe use and storage of equipment
• Work effectively with other staff both within the classroom and throughout the school
• Ability to report on the class you have been taking
• Able to effectively deliver preplanned lessons.
• Willingness to comply with the schools’ policies and implement them effectively

Science Teacher Requirement:

• Hold Qualified Teaching Status
• Recent mainstream school-based experience as a Science Teacher
• Have a good level of classroom and behaviour management
• Experience working with SEND is desirable

Why Class Act Teaching Services?
With a rich history spanning over two decades, our teacher recruitment agency proudly serves North London, East London, Hertfordshire, Norfolk, Suffolk, Cambridgeshire, Oxfordshire, Cornwall, and Devon. We foster exclusive relationships with schools and academies in these regions. Our dedicated team, stationed in branches across Barnet, Enfield, Havering, Norwich, Cambridge, Abingdon, and Plymouth, is committed to supporting and nurturing teachers. Explore rewarding opportunities with our trusted education recruitment services.

Class Act Teaching Services are an agency listed as an approved supplier on the Crown Commercial Service and are proud to be REC audited. This ensures we are carrying out comprehensive checks in line with the REC Code of Professional Practice and are fully committed to safeguarding and promoting the welfare of children and young people. Upon registration, candidates will be subject to a variety of checks including an enhanced DBS check, full references including your most recent employer, and verification of eligibility to work in the UK.

Weekly pay is processed through PAYE. We offer high street, travel, gym membership and many other exclusive discounts, along with physical and emotional well-being services as standard with our pay portal.

Recommend a friend and receive up to £200 of Amazon vouchers – If you know anyone who is looking for temporary, permanent or supply work then get in touch with us today!

We are seeking a highly motivated Postdoctoral Researcher to join our dynamic research team in EPD. The successful candidate will contribute to ongoing projects related to Sodium sulfur battery project. This position offers an excellent opportunity to conduct cutting-edge research and collaborate with interdisciplinary teams.

The researcher needs to:

• Conduct independent and collaborative research on sodium sulfur batteries.
• Design and execute experiments, analyze data, and interpret results.
• Develop and optimize methodologies for battery testing.
• Prepare manuscripts for publication in peer-reviewed journals and present findings at conferences.
• Mentor graduate and undergraduate students, providing guidance on research projects.
• Contribute to grant writing and funding proposals.

Job Description:

• Research and develop new technologies for smart building applications and advanced building controls.
• Based on the R&D outcome, design the air-conditioning system using Building Energy Modeling (BEM) and programming languages such as Python to develop new technologies and install them in real buildings.
• Use digital technology, such as data science and machine learning tools, and evaluate the application effectiveness and drive improvements.
• Lead the development of new technology related to smart buildings and advanced building controls and manage the entire R&D project, from scope definition to budget and risk management etc.
• As R&D project leader, provide design and commissioning consulting to customers for the application of newly developed HVAC systems to buildings.
• Conduct a survey and analyze the collected data along with BEM-based building controls to develop a new building environment focused on occupant comfort and behavior, guided by well-being research.

Job Requirements:

• Master’s degree or equivalent related to Architectural Engineering
• Advanced knowledge of building physics, indoor environmental quality, HVAC system, control theory, and human behavior
• Proficiency in building energy modeling (BEM) such as EnergyPlus and/or TRNSYS
• Proficiency in data science and machine learning with demonstrated skills in programming languages such as R and Python
• Experiences in implementing AI and BEM-based building controls considering individual occupants’ comfort and behavior
• Minimum 10 years experience as a Researcher
• Minimum 5 years experience as a Lead Researcher in research/building projects using BEM
• Good oral and written communication skills in both English and Japanese (native or N1 Japanese language level is required as the role required to collaborate with Japan HQ extensively.)

The Net Zero Futures Lab (NZFL) at SUTD Design Z Centre is seeking a full-time post-doctoral Research Fellows.
The successful candidate will be involved in a research project developing machine-learning assisted walkability assessment for pedestrian-friendly and car-lite neighbourhoods, under supervision of Asst. Professor Peter Ortner and Deputy President, Professor Tai Lee Siang. A background in computational design, architecture, or urban design is required. Demonstrated experience with machine learning applications to urban data sets is encouraged.

About us

NZFL is an interdisciplinary research group working on disruptive innovations for a Net Zero built environment. Our research leadership bring expertise from urban design, interaction design, computer science, and product development, together to conduct interdisciplinary research and develop new products, including negative carbon solutions.

About the position

This position is ideal for someone who is excited about computational urban design and sustainability research and looking to advance cutting edge research with new tools and exciting applications to real-world sites in collaboration with industry and public agencies.

Responsibilities/expectations will include:

• Urban dataset collection and preparation
• Generative modelling of urban networks and sites using NZFL software tools, further development of software tools (python, rhino grasshopper)
• Training of predictive and deep learning models (PyTorch)
• Support principal investigators in writing technical papers and project reports.
• Contribute to exceptional design proposals for real-world sites in Singapore
• Communicate research with public and private stakeholders and collaborators.
• Work with principal investigators to craft research proposals.

Duration

This is a contract position. The initial term of appointment will be 1 year, extensible for a second year upon satisfactory performance and with further extensions dependent on funding availability.

Required/Desired Skills and Qualifications:

• Desired: PhD in architecture, urban design, computational urban analysis. Exceptional applicants with Master’s degree may be considered on a case-by-case basis.
• Proficient with Python or R.
• Experienced in computational architecture design with demonstrated prior research work with urban network analysis (space syntax, UNA or similar) and/or quantitative assessment of pedestrian experience.
• Visual design or planning skills, including ability to contribute to master planning documentation.
• Experience with machine learning or deep learning tools, and keen interest to advance these applications to design of sustainable urban spaces.

How to Apply

Interested applicants are to submit their full Interested applicants are to submit a brief statement of interest, CV, relevant publications, writing and/or code samples to Asst. Prof. Peter Ortner peter_ortner@sutd.edu.sg.

Please include the subject line “NZFL Postdoc Walkability.”

We regret that only shortlisted candidates will be notified.

Responsibilities

• Preparing and arranging of food ingredients to meet the daily production demands
• Operating a variety of kitchen appliances including mixer and ovens
• Packaging of finished products to be sent to outlets / hotels
• Maintaining the cleanliness in the kitchens including cooking surfaces and equipment and utensils
• R&D new products

Qualities:

• Min 1 year of relevant working experience appreciated
• Should possess passion and interest in pastry-making
• A team player who works efficiently to fulfil the production demands
• Willing to learn new recipes and harness new methods of production

Working Hours:

• 8-9 hours work per day (8/9amam to 5/6pm)
• 6 days’ work week

Employee Benefits:

• Medical benefits
• Annual Leave
• Performance incentive
• Staff discount

Interested applicants, you may either apply via here or sent an email at hr@harrianns.com.

At present, we do not require assistance from recruitment agencies. All applications should be submitted directly by candidates.

Our client, a reputable Multi-business Company, is looking for a Senior Manager, L&D.

You will be reporting to the Group HR Director and responsible for designing, implementing, and managing training programs that support the growth and development of our employees across all business units. This role will provide trainings to elevate capabilities to achieve business goals that are inline with HR strategy. This role will be critical in offering a continuous learning environment to keep our teams current.

Job Responsibilities:

• You will be reporting to the Group HR Director and responsible for designing,implementing, and managing training programs that support the growth and development of our employees across all business units.
• This role will provide trainings to elevate capabilities to achieve business goals that are inline with HR strategy.
• This role will be critical in offering a continuous learning environment to keep our teams current
• Providing instructor-led training, blended learning, and experiential learning.
  
• Oversee the implementation of training programs across all business units, ensuring consistency and quality.
  
• Facilitate high-impact training sessions as needed.
  
• Stay abreast of industry trends and incorporate new learning technologies
  and methodologies.
  
• Build strong relationships with key stakeholders, including business unit
  leaders, HR partners, and external vendors.
  
• Act as a consultant to business units, providing expertise and recommendations on learning and development initiatives.
  
• Advocate for a culture of continuous learning and development across the
  organization.

Requirements:

• Minimum of 5 years in specifically Training or L&D role.
• A proven track record in leading successful learning and development
  initiatives.
• Prior experience in the Luxury Retail industry
• Good experience in Strategic L&D planning

Please send your updated resume to aslinwong@workstone.com.sg if you are interested.

Regret to inform that only shortlisted candidates will be contacted.

Workstone Pte Ltd (EA License 19C9998)

Aslin Wong Mun Ning (R1326393)