An internship position for a student with mechanical background to obtain training in prototype fabrication, overseeing project management and execution, assisting with operation of equipment, development of risk assessments, safe work procedures, method statements and technical documentation, troubleshooting the operations.

Intern’s duties include:

• To perform mechanical engineering activities to design, fabricate, develop and verify product characteristics prior to manufacturing in high volume, in a cost and time effective manner.

• To create technical specifications and collaborate with fabrication team to ensure the parts are meeting specification and function as intended.

• Resolve product quality issues arising from production or operation by working closely with team members.

• Support mechanical testing and create technical report.

Requirements for the intern:

• Pursuing Diploma from a Poly or Bachelor or Master’s degree from University in Mechanical Engineering in Singapore.

• Has hands-on experience with metal works (cutting, grinding, drilling, etc.).

• Proficient with MS Office.

• Strong verbal and written communication skills.

• Good analytical and problem-solving skills.

• Proficient in 3D CAD software.

• Able to follow Workplace Safety and Health regulations. Having safety training certificates is an advantage.

• Fit to wear dust mask/gas respirator.

Workplace location: Tuas

Artificial Intelligence/Machine Learning Engineer Intern

Description -

About Us:

Innovation is in HP’s DNA. From our origins in a Palo Alto garage in 1939, to our current position as one of the world’s leading technology companies, HP has grown to become a leader in technology and corporate culture, inspiring innovators and entrepreneurs around the globe.

HP brings together a portfolio that spans printing, personal computing, software and services to serve more than 1 billion customers in over 170 countries. We are committed to fostering a diverse and inclusive workplace that attracts exceptional talent and to supporting our employees to succeed at all levels. We dream in over 35 languages and share one mission: to engineer experiences that amaze.

The Program:

Our future success depends on the innovation and fresh ideas students bring to HP Inc. We are hiring students with a diverse set of skills and experiences to join us, across the different organizations that make us HP Inc. Our intern program is intended to enhance your overall learning experience, give you an opportunity to make an impact, have some fun, and meet great people along the way. 

Join us for a 12-week paid Summer 2024 Internship designed to let you apply your classroom learnings to real world challenges.  Our internships have a thoughtful balance of networking, executive speakers, community involvement, big meaty projects (no paper filing here!) and fun!

The Team:

The Personal Systems organization creates a full ecosystem of digital experiences through advancing leadership in computing, creating immersive experiences through peripherals, and expanding digital services. 

Responsibilities:

HP is looking for a machine learning engineer intern to build efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize HP’s machine learning models and algorithms.

 

1) Design and develop machine learning algorithms and deep learning applications and systems for HP.

2) Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks.

3) Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.

4) Identify differences in data distribution that could potentially affect model performance in real-world applications.

5) Ensure algorithms generate accurate user recommendations.

6) Stay up to date with developments in the machine learning industry.

 

1) Impeccable analytical and problem-solving skills.

2) Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.

3) In-depth knowledge of machine learning frameworks, like Keras or PyTorch.

4) Familiarity with data structures, data modeling, and software architecture.

5) Excellent time management and organizational skills.

6) Desire to learn.

Education and Experience Required:

• 1st year of Master's program completed or PhD candidate
• Software - Python, Java, Scala and R

Preferred Majors:

• Computer Science, Software Engineering, Computer Engineering, or related technical field

We are looking for visionaries who are ready to make an impact on the way the world works. At HP, the future is yours to create. Thanks for taking the time to review our job, if you think it is a match to your knowledge and interests please apply today— we are eager to learn more about you. 

Job -

Administration

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

The candidate will work on developing an intelligent and sustainable Energy Management System (EMS) for Residential Air Conditioning (RAC). The candidate will assist in:

• Developing learning-based algorithms to optimize RAC operations based on energy cost, PV energy generation, and comfort requirements.
• Developing predictive models.
• Conducting and evaluating the control strategies in case studies.

Job Title

Fire Training Specialist I - Internal Training

Agency

Texas A&M Forest Service

Department

Training

Proposed Minimum Salary

$4,750.00 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

The Fire Training Specialist I - Internal Training coordinates the delivery of Texas A&M Forest Service (TAMFS)-specific, wildfire and incident management training courses. They will identify training needs within the agency. They will also be knowledgeable of all aspects of TAMFS training programs and participate in emergency response.

Responsibilities:

-Coordinate the delivery of TAMFS-specific, wildfire and incident management training courses. Provide course instruction and support internal and external courses. Prepares and completes reports, monitors performance of instructors and cadre to ensure course quality.

-Identify internal training needs as they relate to natural resources, wildfire and incident management. Develop and deliver an internal training program to meet the needs of field staff. Coordinate with external and AHIMT training to reduce overlap

-Participate in wildfire and all-hazard incident management which may require: working long hours with minimal rest and in primitive condition, exposure to harsh environmental conditions such as smoke, wind, sunlight, rain and temperature extremes, walking long distances, standing for extreme periods, twisting, bending, reaching, kneeling, lifting and carrying large objects, driving motor vehicles for long distances, operating heavy equipment with related exposure to equipment vibration and noise, operating computers and monitors for extended periods of time. Individuals serving in response roles must meet all qualification guidelines, including physical fitness levels.

-Support Internal Training Delivery, Facilitated Learning Analysis Program, Inter agency Wildfire Academies and other training programs.

-Serve as a professional representative of the agency. Assist in answering customer inquiries and resolving customer complaints.

-Manage and account for TAMFS credit cards, vehicle log books, time reports and any assigned TAMFS equipment in accordance with applicable laws, rules, procedures and guidelines.

-Comply with all loss prevention, environmental health and safety standards as established by applicable laws and rules.

-Other duties as assigned.

Texas A&M Forest Service offers a competitive benefits package including medical, dental, vision, life and long-term disability insurance, retirement benefits, paid-time off and health and lifestyle programs, education incentives and tuition reimbursement opportunities.

Education and Experience:
Required Education: Bachelor’s degree in Natural Resources, Emergency Management, Fire Science, Education or related field

Preferred Education: Masters Degree in Natural Resources, Emergency Management, Fire Science, Education or related field
Required Experience: Minimum of three (3) years of experience with a recognized wildland fire agency or emergency response agency.

Preferred Experience: Six (6) or more years experience with a recognized fire agency or emergency response organization. Experience as an instructor.

Knowledge, Skills and Abilities:
Required Knowledge: Working knowledge of educational systems, course development and revision, training management principles, instructional processes and methods of adult education. Working knowledge of wildland fire management and operations (NWCG), incident management team (IMT) operation, the National Incident Management System (NIMS) and the Incident Qualification System (IQS). Microsoft Word, Excel, PowerPoint, Access, and Outlook. Awareness of natural resource issues in Texas and familiarity of TAMFS natural resource programs.

Required Skills: Strong written and oral communication skills. Sound planning and organizational skills.

Required Abilities: Demonstrated ability to build and maintain relationships within the agency and with cooperating agencies. Ability to manage simple projects and/or events. Multi-task and work cooperatively with others.

Registrations, Certifications, and Licenses:
Required: Valid Texas Driver's license or ability to obtain one. NFPA 1041 Instructor I training. S-130/190. ICS-300. ICS-400. S-131 certificate or entry-level training in Plans, Logistics or Finance. Qualified as an FFTI/ICT5 or an entry-level position in Plans, Logistics or Finance

Preferred: NFPA 1041 Instructor II Training. Qualified as a Single Resource Boss or a Unit Leader in Plans, Logistics or Finance

Other Requirements:
-Response to statewide wildland and all-hazard incidents will be required. Individuals serving in fire or emergency response positions must meet and maintain appropriate qualifications and fitness standards.

Applicant Instructions:

Resume, cover letter, references and transcript(s) are REQUIRED to be uploaded to application.  Certifications are preferred to be uploaded to the application.  Documents/certifications can be uploaded in the “My Experience” page in the “Resume/CV section.  More than one document can be uploaded; just click the “Upload” button for each document.  Documents can only be loaded at this time and cannot be uploaded once the application is submitted.  If there are any issues uploading documents, please contact 979-458-6690.  Please check your spam folder in case more information is sent in regards to this position.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer.

Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. 

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

 

The Opportunity

Adobe Research is looking for brilliant minds who are excited about developing research areas that impact Adobe’s products and future endeavors. Research and Engineering internships for Spring, Summer, and Fall of 2023 are now open to applicants pursuing PhD and master’s degrees (exceptional undergraduates will also be considered).

Working directly with a manager and a mentor, you will have access to robust computational resources and world-class product and design teams, empowering you to see your work reach millions of users across the globe.
 

Summary

Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our research labs are actively published in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.
 

Adobe Research focuses on the following research areas:

• Content Intelligence
• AI & Machine Learning
• Computer Graphics (2D&3D)
• Data Intelligence
• Computer Vision, Imaging & Video
• Audio
• Systems and Languages
• Natural Language Processing
• Human Computer Interaction
• AR, VR & 360 Photography
• Document Intelligence
• Intelligent Agents & Assistants
   

What you will do

Under the direction of an Adobe Research mentor, you will:

• Pursue a research problem to apply to Adobe’s products and with the possibility of academic publication
• Develop new algorithms, run experiments, and produce demonstration prototypes
• Document and present your work, both verbally and in writing

What you will need

• Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered)
• Sufficient research skills and background in your chosen subject area
• Strong communication skills and teamwork experience
• Passion for solving real-world problems with web-scale data using and inventing state-of-the-art Machine Learning algorithms.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $45.00 -- $61.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.

Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
 

Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.

The candidate will be working on experimental & data analytics (AI/ML) activities for the development of an intelligent anomaly detection concept for Residential Air Conditioners (RAC). Ensuring a smooth operation of RAC tests, data collection, analysis, and validation of concepts related to energy management or robustness related anomalies (refrigerant leakage, heat exchanger fouling, sensor faults) are the expectations and expected tasks are listed below:

• Conducting RAC tests in Robert Bosch SEA Corporate Research HVAC testbed/lab
• Physical simulation of anomaly cases on testbed, data acquisition, processing, storage and investigation
• Data post-processing, develop anomaly detection model, monitor model performance
• Execute and analyze experiment results with statistical tools to provide insights for further test and algorithm improvements related to predictive maintenance, waste of energy and robust operation of RACs