Job description: Job Description

Technical Engineering Manager- Fueling Machine Design

Come join us in reshaping the future with AtkinsRéalis. AtkinsRéalis is dedicated in engineering a better future for our planet and its people.

CANDU Energy Inc. is a leading full-service nuclear technology company providing nuclear power reactors and nuclear products and services to customers worldwide. Our 1,400 highly skilled employees design and deliver state-of-the-art CANDU® reactors, carry out life extension projects, provide plant life management programs and tools, and offer operation and maintenance services for existing nuclear power stations. This role is based out of the CANDU Energy Inc. home office in Mississauga, ON.

Reporting to the Director of Retube, Inspection and Maintenance Systems, the Technical Engineering -Fueling Machine Design would support one of the various Refurbishment or New build projects. This leader will be responsible for individuals and teams executing commercial and internal work packages and projects, with respect to Fueling Machine Design including other closely related disciplines.

Your role within the team:

• Forecast resource demands for the assigned work scope, including skills, capabilities, and durations.
• Defines the structure of the project team for their scope of accountability, including reporting relationships.
• Assigns and releases staff, secondees and contractors from their team, as required.
• As required, negotiates with other Technical Engineering Managers to optimize the use of available staff.
• As necessary, organizes and directs the development of project-specific training courses.
• Mentors and/or organizes mentoring of staff to maintain and improve staff performance and capabilities.
• Ensures all project training and qualifications records are up-to-date, and required training and qualifications are completed/updated on time.
• Provides clear expectations and performance measures, meaningful feedback, recognizes and rewards achievements, and takes disciplinary steps when warranted.
• Develops and implements corrective measures to improve the performance of individuals.
• Provides feedback to the Functional Manager on the performance of staff reporting to the Technical Manager.
• Provides feedback and effective recommendations into functional hire/fire processes.
• Participates in the preparation of commercial and internal proposals and approve the technical content of proposals prepared under their direction.
• Participates in proposal reviews, as required.
• For projects that do not involve a Technical Director, responsible for developing and implementing an approved Engineering Plan for the assigned work;
• Ensures that the final deliverables from their team meet customer requirements specified in the contract and overall alignment with nuclear codes and standards.
• Approves technical documents prepared by staff reporting to them.
• Plans and executes work consistent with quality, cost, and schedule requirements.
• Removes barriers that would impact deliverables to meet project requirements and priorities, working with the assigned staff to find solutions and optimizations.
• Work with marketing and other corporate groups to maintain and improve client relationships and offerings.
• Ensures that work is conducted in accordance with applicable Engineering and Quality Assurance procedures.
• Ensures all project engineering activities are performed in accordance with both statutory requirements and best practices in safety and quality.
• Ensures that all design work is executed effectively and that suitable reviews are undertaken to ensure adequacy to project requirements.
• Fosters a team environment and team building within Engineering and with internal and external customers.
• Oversee the preparation of cost estimates for engineering services to internal and external clients.
• Oversees cost, timeliness, quality, and technical adequacy of the work through regular reviews and evaluations.
• Implements planning, scheduling, and tracking of project engineering activities, commitments, costs, and labor resources.
• Interfaces with clients and successfully delivers engineering products in accordance with customer specifications and requirements.
• Establishes the technical approach to achieve project requirements and ensures the design satisfies these requirements.
• Manages the design process and products configuration in accordance with approved procedures.
• Ensures security access requirements including need to know are implemented on a project.

Why choose AtkinsRéalis as an employer?

Because we offer:

• The opportunity to work on various major projects for internal and external clients.
• An exciting environment where work-life balance is important.
• A wide array of learning and development opportunities.
• Competitive pay, flexible benefits, an employee share plan, and a defined contribution pension plan.
• A work environment focused on health and safety.

The ideal Candidate:

• University degree in an applicable field of engineering or science.
• PEO designation is desirable.
• 8 years of progressive experience in the discipline of Fuel Handling and/or Fueling Machines including experience leading technical teams.
• Demonstrated ability to manage complex and parallel technical projects.
• Strong leadership and coaching skills in the development of team members and support staff.
• Strong communication (both verbal and written), and interpersonal skills.
• Excellent client focus and conflict resolution skills.
• Demonstrated business acumen – the ability to think, plan and negotiate strategically with a strong commercial orientation and good understanding of financial measurements.
• Three or more years of experience leading engineering teams.
• Experience working in a nuclear facility licensed in Canada would be an asset.
• Sound knowledge of multiple engineering fields
• Ability to obtain and maintain a Level 2 security clearance.
• Experience in executing projects that are subject to import/export controls.
• Experience in managing sub consultants and work sharing with other offices within the firm.
• Willing to travel to and potentially work at Project sites to meet corporate needs.

Are you up for this challenge? Apply today and join our team to help engineer a Better Future for our Planet and its People.

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds, and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion, or disability, but enriches itself through these differences.

AtkinsRéalis cares about your privacy. AtkinsRéalis and other subsidiary or affiliated companies of AtkinsRéalis (referred to throughout as “AtkinsRéalis”) are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use, and transfer your Personal Data.

By submitting your personal information to AtkinsRéalis, you confirm that you have read and accept our Privacy Notice.

Appropriate accommodations will be provided upon request throughout the recruitment and hiring process as required by Company policy and the Accessibility for Ontarians with Disabilities Act (AODA).

Successful applicants will be notified about AtkinsRéalis’ accommodation policies at the time the employment offer is extended, and the information will be shared with new personnel during the onboarding process.

Worker Type Employee

Job Type Regular

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

Expected salary:

Location: Mississauga, ON

Job date: Fri, 10 Nov 2023 23:15:06 GMT

Apply for the job now!

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Job description: Priority may be given to the following designated employment equity groups: women, Indigenous peoples* (First Nations, Inuit and Métis), persons with disabilities and racialized persons*.

• The Employment Equity Act, which is under review, uses the terminology Aboriginal peoples and visible minorities.

Candidates are asked to self-declare when applying to this hiring process.

City: Ottawa

Organizational Unit: Ocean, Coastal and River Engineering

Classification: RO

Tenure: Term to January 7, 2028

Language Requirements: English

Note: Due to the nature of the work and operational requirements, this position will require some physical presence at the NRC work location identified, however, the option of a hybrid work arrangement (a combination of working onsite and offsite), may be possible.

Your Challenge

Great Minds. One Goal. Canada’s Success.

Help bring research to life and drive your career forward with the National Research Council of Canada (NRC), Canada’s largest research and technology organization.

We are looking for an organized and dynamic Machine Learning Scientists, to support the Ocean, Coastal and River Engineering Research Centre at its Ottawa location. The selected candidate would be someone who shares our core values Integrity, Excellence, Respect and Creativity.

NRC’s GOCF Research Centre supports a broad cross-section of industry sectors by developing creative and practical solutions to applied engineering challenges in rivers, coastal, ships and marine environments. We provide expertise and tools to identify, adapt, and integrate advanced solutions into systems that improve the performance and safety of ocean, coastal, shipping and marine operations, management and effective utilization of inland water resources, address the challenges of climate change, and protect infrastructure, property and people from risks of severe weather and climate events. Using numerical modelling tools, machine learning, field investigations, and world-class model test facilities (including two ice tanks – of which one is the longest in the world – five wave basins and three flumes), we are creating safe, efficient and sustainable solutions to engineering challenges.

GOCF has a strategy that revolves around using data science & AI in all aspects of its research. We are looking for a passionate data scientist / machine learning expert with appropriate domain expertise, who can apply the latest research and algorithms to help solve our problems and produce novel, high-quality research. As a member of the “Data Science & AI” team, you will use and evaluate machine learning models using a variety of large data sets (e.g., in-situ environmental conditions, satellite imagery, ship data, model scale data, numerical data), state-of-the-art computing facilities (multi-GPUs), and cloud services, to apply to various projects that are strategic to GOCF, including (but not limited to) coastal monitoring, ship performance, target detection from underwater cameras and remote sensing, autonomous ships, weather routing, human factors, and many others.

The primary responsibility of the Machine Learning Engineer will be to advance and maximize the impact of GOCF Research Centre’s research nationally and internationally through developing new models, technologies, advanced data analysis techniques, and decision support tools. As a subject matter expert, the Machine Learning Engineer will work on a variety of multidisciplinary projects to leverage the latest state-of-the-arts computer vision, machine learning and data analytics methods to support our Research Centre’s R&D objectives.

The Machine Learning Engineer is also expected to actively participate in the development of project proposals, execute project management plans, disseminate research outcomes and deliver superior technical services. Additionally, there will also be opportunities to explore independent research interests, participate in postdoctoral mentoring and development programs, and access ideation funds offered by the NRC.

Screening Criteria

Applicants must demonstrate within the content of their application that they meet the following screening criteria in order to be given further consideration as candidates:

Education

Master’s degree with relevant research experience or Ph.D. . in a discipline of engineering such as Civil, Computer, Environmental, or Water Resources/Hydrologic Engineering, or in Ocean and Naval Architecture, Computer Science, Machine Learning, Statistics, or a related quantitative field.

The ideal candidate would possess the skills required to determine and use the appropriate machine learning and data analytical methods specific to the problems at hand, and would also possess domain expertise relevant to NRC-OCRE.

For information on certificates and diplomas issued abroad, please see

Experience

• Significant* Experience using current state-of-the art in machine learning, including DNNs, CNNs, RNNs, and other frequently used methods in the field of computer vision, classification, regression and predictive modelling.
• Significant* experience with statistical modelling and analysis of large imagery, geospatial and time series datasets originating from instrumental records, time-lapse cameras, optical and radar satellite sensors, regional and global climate modelling experiments or re-analyses products using both conventional and modern machine learning approaches/frameworks.
• Significant* experience using Python, virtual environments and data science packages (e.g. numpy, scipy, pandas, xarray, dash) to read, manipulate and analyse large temporal and spatial datasets.
• Demonstrated experience in using computer vision and machine learning methods in one or more areas of OCRE research such as coastal engineering, water resources, ice or naval architecture would be considered an important asset.
• Demonstrated experience developing and deploying online analytical tools, dashboards and decision support systems would be considered an important asset.
• Demonstrated experience in the full spectrum of research activities including identification of research requirements, proposal writing, project management, client/stakeholder interaction, data production and analysis, and reporting through written documentation, presentations and publishing would be considered an important asset.

*Significant refers to at least three (3) years of experience.

Condition of Employment

Secret (II)

Language Requirements

English

Assessment Criteria

Candidates will be assessed on the basis of the following criteria:

Technical Competencies

• Significant* ability and knowledge to use current state-of-the art machine learning libraries, such as TensorFlow or PyTorch, to apply various methods, such as DNNs, CNNs, RNNs and other, in the field of computer vision, classification, regression and predictive modelling.
• Significant* ability to develop statistical models and analyze large optical and radar imagery, geospatial and time series datasets originating from instrumental records, time-lapse cameras, satellite sensors, regional and global climate modelling experiments or re-analyses products using both conventional and modern machine learning approaches/frameworks.
• Significant* ability to use Python, virtual environments and data science packages (e.g. numpy, scipy, pandas, xarray, dash) to read, manipulate, visualize and analyse large temporal and spatial datasets.
• Knowledge of GIS software for processing, analyzing and understanding geospatial data; and visualization and graphical software tools for producing high quality graphics, maps, and animations would be considered an important asset.
• Demonstrated ability in using computer vision and machine learning methods in one or more areas of OCRE research such as coastal engineering, water resources, ice or naval architecture would be considered an important asset.
• Demonstrated ability to develop and deploy online analytical tools, dashboards and decision support systems would be considered an important asset.

Behavioural Competencies

• Research – Continuous professional learning (Level 2)
• Research – Results orientation (Level 2)
• Research – Initiative (Level 2)
• Research – Teamwork (Level 2)
• Research – Self-knowing and self-development (Level 2)
• Research – Creative thinking (Level 3)

Competency Profile(s)

For this position, the NRC will evaluate candidates using the following competency profiles:

Compensation

This position is classified as a Research Officer (RO), a group that is unique to the NRC. Candidates are remunerated based on their expertise, outcomes and impacts of their previous work experience relative to the requirements of the level. The salary scale for this group is vast, from $57,220 to $161,754 per annum, which permits for employees of all levels from new graduates to world renowned experts to be fairly compensated for their contributions.

NRC employees enjoy a wide-range of including comprehensive health and dental plans, vacation, sick, and other leave entitlements, disability insurance and pension plans.

​

The NRC Advantage

The National Research Council of Canada (NRC) is the Government of Canada’s largest research organization supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.

We bring together the brightest minds to deliver tangible impacts on the lives of Canadians and people around the world. And now, we want to partner with you. Let your expertise and inspirations make an impact by joining the NRC.

At the NRC Employee wellness matters. We offer flexible work schedules as well as part-time work to help employees maintain work-life balance. We are one of the few federal organizations that close our offices during the December holiday season. We offer professional learning and development opportunities such as conferences, workshops, and a suite of mentorship, award and recognition programs. Diversity enables creativity and innovation. Fostering a diverse, inclusive, welcoming and supportive workplace is important to us, and contributes to a more inclusive Canadian innovation system. We welcome all qualified applicants and encourage you to complete the employment equity self-declaration questions during the job application process. Please let us know of any accommodation measures required to help you to be assessed in a fair and equitable manner. Please note that the information you provide will be treated confidentially.

Help us solve problems for Canada. Grow your career with us today!

Notes

• Relocation assistance will be determined in accordance with the NRC’s directives.
• ​A pre-qualified list may be established for similar positions for a one year period.
• Preference will be given to Canadian Citizens and Permanent Residents of Canada. Please include citizenship information in your application.
• The incumbent must adhere to safe workplace practices at all times.
• We thank all those who apply, however only those selected for further consideration will be contacted.

Please direct your questions, with the requisition number (20900) to:

E-mail:

: 506-686-2961

Closing Date: 15 January 2024 – 23:59 Atlantic Time

For more information on career tools and other resources, check out

*If you are currently a term or continuing employee at NRC, please apply through the SuccessFactors Careers module from your NRC computer.

Date modified: This page is updated continuously.

Expected salary: $57220 – 161754 per year

Location: Ottawa, ON

Job date: Fri, 22 Dec 2023 23:15:03 GMT

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Job description: TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us
Creation is the core of TikTok’s purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy – a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That’s how we drive impact – for ourselves, our company, and the communities we serve.
Join us.

About USDS
At TikTok, we’re committed to a process of continuous innovation and improvement in our user experience and safety controls. We’re proud to be able to serve a global community of more than a billion people who use TikTok to creatively express themselves and be entertained, and we’re dedicated to giving them a platform that builds opportunity and fosters connection. We also take our responsibility to safeguard our community seriously, both in how we address potentially harmful content and how we protect against unauthorized access to user data.

U.S. Data Security (“USDS”) is a standalone entity of TikTok in the U.S. This new security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and user data in the U.S., so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS that deliver on this commitment daily span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.

About the Team
The Search E-Commerce team is responsible for the search algorithm for TikTok’s rapidly growing global e-commerce business. We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry’s top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world. Our mission is to build a world where “there is no hard-to-sell good-priced product in the world”.

Responsibilities – What You’II Do

• Improve the basic search quality and user experience: Optimize query analysis and text relevance matching. Understand e-commerce video content and implement multi-modal matching. Improve users’ perception of product authority, and deeply participate in the design and implementation of core search products. Comprehensively improve the end-to-end shopping experience from browsing to after-sales.
• Design and implement the end-to-end ranking system (recall, first stage ranking, final stage ranking and mixed row): Use massive behavioral data to deeply model users’ personalized shopping interests. Improve the shopping conversion efficiency for merchandise, video and live stream to promote GMV growth.
• Promote the healthy development of the ecosystem: From the perspective of the industry and businesses, solve challenging problems such as supply and demand matching, business cold start, and sustainable business growth, etc. Think, analyze and adjust the evolution of the system to achieve long-term and sustainable growth of GMV.

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.

Qualifications:

• Bachelor or advanced degree in computer science or a related technical discipline.
• Industry work experience in machine learning. Good product sense with a focus on user experience.
• Solid coding skills. Solid knowledge of data structure and algorithms.
• Excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data.
• Publication records in top journals or conferences will be a plus. Experience winning ACM-ICPC medals will be a plus.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at usds.accommodations@tiktokusds.com

Expected salary:

Location: Seattle, WA

Job date: Sat, 30 Dec 2023 07:36:20 GMT

Apply for the job now!

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Job description: or take over sponsorship of an employment Visa at this time. WHAT WE OFFER Opportunity to work in a growing company…

Expected salary:

Location: Albertville, AL

Job date: Tue, 19 Dec 2023 08:53:06 GMT

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Job description: Machine Operator – Immediate Openings in Milwaukee

Would you like to work for a company that is an Industry leader in the design and development of Smart Vehicle Power Access and Electronic & Mechanical Security Solutions. They are seeking entry level Machine Operators for 2nd shift. These are contract to hire positions, you will have a rewarding career that offers stability and opportunities for advancement.

What you will do:

• Fill parts from machines to tumbling area
• Weighing and recording numbers of parts
• Visual inspecting degated parts
• Loading zinc housings into thermal deburr basket, operate machine, unloading and broaching housings

What you will need:

• 2+ years of machine operating experience
• Solid work history – no job hopping!
• Good attendance and punctuality
• Physical ability to occasionally lift up to 50 pounds, push, pull and standing all day
• High school diploma or equivalent

What’s in it for you:

• 2nd shift: 2pm – 10pm Monday-Friday
• $21.07/hr with opportunities for overtime
• When you work as an employee with The Reserves Network you are eligible to enroll in medical, dental, and vision insurance, as well as 401K, direct deposit, and our referral bonus program!

The Reserves Network is a family-owned and veteran-founded company. Since 1984, we have been bringing employers and job seekers together in a variety of industries and positions.

As an equal opportunity employer, we value our employees and foster an environment of respect, integrity, and trust in every aspect of employment. However you identify and whatever your background, we encourage you to or you can to receive and accept real-time job notifications.

For more information contact our Milwaukee office at 414-453-9545. Or if interested, please send a resume to:

#IL123

Expected salary: $21.07 per hour

Location: Milwaukee, WI

Job date: Wed, 13 Dec 2023 23:24:49 GMT

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Job description: Job Description:

Company: Qualcomm Canada ULC

Job Area: Interns Group, Interns Group
Interim Engineering Intern – SW

Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.

General Summary:

Qualcomm Overview:

Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age – and this is where you come in.

General Summary:

Join our dynamic team at Qualcomm, a leader in automotive innovation, where we empower a multitude of machine learning applications on cutting-edge automotive-grade hardware platforms. Our domain spans the spectrum of advanced driver-assistance systems (ADAS), in-cabin occupant assistants, to vigilant backseat infant monitoring — and beyond, into the realms of our clients’ imaginations. We engineer a robust framework that adeptly processes vast amounts of real-time sensor data from vehicles. Our mission is to ensure these complex computations are not only precise and swift to meet real-time demands but are also optimized for low-power consumption, ensuring reliability over extended periods without reliance on cloud connectivity.

Throughout the tenure of this 12-16 month internship, you will delve into the intricacies of optimizing state-of-the-art neural networks. These are intricately tailored to occupy a minimal footprint, maintaining fidelity to their original design while operating with significantly reduced resource requirements. You will witness the transformation of theoretical models into practical applications within the automotive sphere. This position is a unique intersection of automotive passion and the forefront of computational technology. If you are eager to engage with the automotive industry and its convergence with the latest in computing advancements, Qualcomm offers you the ideal platform to develop, innovate, and drive the future.

Competencies:

• Strong academic records (GPA 3.5 and above);
• Excellent programming skills in Python, C/C++, Linux and Windows;
• Outstanding marks in math and statistics courses;

• Strong motivation and capabilities in learning new subjects especially in the field of artificial intelligence;
• Strong problem-solving skills;
• Effective interpersonal communications skill (written and verbal);
• Analytical, thorough, resourceful and detail-oriented;
• Self-motivated, hardworking, and flexible.

Preferred Qualifications

• Experiences in general machine learning model training/inference
• Hands-on experience in embedded device programming
• Working knowledge in RNN, CNN and Transformer model architecture

Applicants: If you need an accommodation, during the application/hiring process, you may request an accommodation by sending email to

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact .

Expected salary:

Location: Markham, ON

Job date: Tue, 07 Nov 2023 23:19:23 GMT

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The post FY24 Intern – Machine Learning and AI for Automotive – Canada (16 months) appeared first on World News: Entertainment, lifestyle, Health, Technology.

Job description: Location – Work primarily takes place at North Campus Edmonton.

Working for the Department/Faculty

The Department of Physics has approximately 48 faculty with research interests in condensed matter physics, biophysics, astrophysics, space physics, subatomic physics, and geophysics. Access to a wide range of infrastructure for biophysical research is available on campus, from laser spectroscopy labs and microscopy facilities to structural and chemical characterization labs, nano-fabrication facilities, molecular biology services, and clusters for high-performance computation. Extensive infrastructure exists for high-performance computation, from PC clusters within the department to the Western Canada Research Grid (www.westgrid.ca). Initiatives by the Governments of Alberta and Canada provide exceptional opportunities for additional funding to establish new research programs at the University of Alberta.

Position

The Department of Physics, University of Alberta ( ) invites applications for a tenure-track faculty position combining biophysics and machine learning. We are primarily seeking an emerging scholar to hire at the Assistant Professor level who is committed to excellence in teaching and research, but highly qualified candidates at a more senior level will be considered. Applicants must possess a Ph.D. in physics, biophysics or an appropriately related field and have the potential to develop an innovative and externally-funded research program in biophysics and machine learning. The successful candidate will be expected to build a strong, independent research program, develop collaborative relationships, supervise graduate students, and teach physics at the undergraduate and graduate level.

The successful candidate will be nominated for a Canada CIFAR Artificial Intelligence (CCAI) Chair by the Alberta Machine Intelligence Institute (Amii). Amii is one of three institutes named in the Pan-Canadian AI Strategy and represents more than 35 artificial intelligence (AI) and machine learning researchers at the U of A, as well as CCAI Chairs at post-secondary institutions across Western Canada. The CCAI Chair includes research funding for at least five years. This position is part of a University of Alberta cluster hire in the areas of research strength that include Health, Energy, and Indigenous Initiatives in health and humanities, among others. The University of Alberta is world-renowned for its strength in AI; this cohort will bring together and foster the next generation of scientists leading the development of machine learning for societal benefit, fulfilling Amii’s mandate of AI for good and all.

Duties

• Build a strong independent research program
• Develop collaborative relationships
• Supervise graduate students
• Teach physics at the undergraduate and graduate level

To apply, please compile the following documents into ONE pdf document and upload to the application portal by clicking the “Apply Online” button below:

• A CV
• list of publications
• statement of research interests
• summary of teaching interests
• EDI statement

Candidates must also demonstrate how they will work to expand the diversity of the Department through a statement about equity, diversity, and inclusion (EDI).

In the EDI statement, candidates should describe how they plan to incorporate these considerations into their teaching, research, and service to the scientific community. Candidates are also encouraged to describe how they will contribute to increasing the diversification of ideas within the Department of Physics.

At least 3 confidential reference letters should be submitted via email. Please ask referees to address their letters to:

Biophysics & Machine Learning Selection Committee

Department of Physics

University of Alberta

Edmonton, Alberta, Canada, T6G 2E1

Referees should email their letters directly:

To: Suzette Chan
suzette.chan@ualberta.ca

Subject: Biophysics & ML Competition A107851981

The application deadline is December 15, 2023. The anticipated start date for this position is July 1, 2024.

As part of the Temporary Foreign Worker Program requirements, the university must conduct recruitment efforts to hire Canadians and permanent residents before offering a job to a temporary foreign worker. To ensure we remain in compliance with these regulations, please include the appropriate statement in your application “I am a Canadian Citizen/Permanent Resident” or “I am not a Canadian Citizen/Permanent Resident”.

The University of Alberta is committed to an equitable, diverse, and inclusive workforce and hasboth a Strategic Plan for EDI and an Indigenous Strategic Plan. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; those with non-traditional career paths and all those who may contribute to the further diversification of ideas and the University to apply.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

How to Apply

Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.

Expected salary:

Location: Edmonton, AB

Job date: Sun, 15 Oct 2023 06:24:16 GMT

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Job description: Location – Work primarily takes place at North Campus, Edmonton.

Working for the Department/Faculty

The Department of Physics has approximately 48 faculty with research interests in condensed matter physics, astrophysics, biophysics, geophysics and subatomic physics. Our condensed matter theory group currently focuses on superconductivity, topological quantum materials, computational physics, and quantum simulation. Our experimental condensed matter group is well equipped with labs for ultrafast laser spectroscopy, scanning tunneling microscopy, transmission electron microscopy, low-temperature physics, cavity optomechanics, and ultra cold atoms; as well as $100M+ in equipment at the university’s characterization and fabrication facility (nanoFAB). The National Institute for Nanotechnology (NINT), located next door to the physics building, also houses a number of condensed matter labs. Access to high-performance computing resources is available through the Digital Research Alliance of Canada. Initiatives by the Governments of Alberta and Canada provide exceptional opportunities for additional funding to establish new research programs at the University of Alberta.

Position

The Department of Physics, University of Alberta ( ) invites applications for a tenure-track faculty position in theoretical quantum physics and machine learning. We are primarily seeking an emerging scholar to hire at the Assistant Professor level who is committed to excellence in teaching and research, but highly qualified candidates at a more senior level may be considered. Applicants must possess a PhD in physics (or related field) and have the potential to develop an innovative and externally-funded research program in theoretical quantum physics and machine learning. The successful candidate will be expected to build a strong, independent research program, supervise graduate students and teach physics at the undergraduate and graduate levels.

Subject to the endorsement of the Alberta Machine Intelligence Institute (Amii), the successful candidate will hold the Canada CIFAR Artificial Intelligence (CCAI)/Quantum Horizons Alberta Chair at the University of Alberta.

Amii is one of three institutes named in the Pan-Canadian AI Strategy and represents more than 35 artificial intelligence (AI) & machine learning (ML) researchers at the University of Alberta, as well as CCAI Chairs at post-secondary institutions across Western Canada. The CCAI Chair includes research funding for at least five (5) years. This position is part of a University of Alberta cluster hire in the areas of research strength that include Health, Energy, and Indigenous Initiatives in health and humanities, among others. The University of Alberta is world-renowned for its strength in AI; this cohort will bring together and foster the next generation of scientists leading the development of machine learning for societal benefit, fulfilling Amii’s mandate of AI for good and all.

Duties

• Build a strong, independent research program
• Supervise graduate students
• Teach physics at the undergraduate and graduate levels

The successful candidate will have associate faculty member status with Quantum Horizons Alberta (QHA). Initiated by a $12-million gift from a group of visionary donors, QHA is a new $25-million Alberta-wide initiative to pursue transformational research in fundamental and theoretical quantum science ( ). QHA provides funding for eight new faculty at its three host universities (U. Alberta, U. Calgary, U. Lethbridge), focused on foundational quantum science research, including four at the University of Alberta. QHA also provides research support to its faculty members with funding for graduate students and postdoctoral fellows; research infrastructure, travel and collaboration across all three QHA nodes; and participation in QHA seminars, summer schools, and conferences.

How to Apply

Applications and reference letters will be accepted only through Academic Jobs Online:

Candidates must also demonstrate how they will work to expand the diversity of the Department through a statement about equity, diversity, and inclusion (EDI).

In the EDI statement, candidates should describe how they plan to incorporate these considerations into their teaching, research, and service to the scientific community. Candidates are also encouraged to describe how they will contribute to increasing the diversification of ideas within the Department of Physics.

The application deadline is December 15, 2023. The anticipated start date for this position is July 1, 2024.

As part of the Temporary Foreign Worker Program requirements, the university must conduct recruitment efforts to hire Canadians and permanent residents before offering a job to a temporary foreign worker. To ensure we remain in compliance with these regulations, please include the appropriate statement in your application “I am a Canadian Citizen/Permanent Resident” or “I am not a Canadian Citizen/Permanent Resident”.

The University of Alberta is committed to an equitable, diverse, and inclusive workforce and has both a Strategic Plan for EDI and an Indigenous Strategic Plan. We welcome applications from all qualified persons. We encourage women; First Nations, Mitis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; those with non-traditional career paths and all those who may contribute to the further diversification of ideas and the University to apply.

At the University of Alberta, we are committed to creating an inclusive and accessible hiring process for all candidates. If you require accommodations to participate in the interview process, please let us know at the time of booking your interview and we will make every effort to accommodate your needs.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. If suitable Canadian citizens or permanent residents cannot be found, other individuals will be considered.

Expected salary:

Location: Edmonton, AB

Job date: Fri, 20 Oct 2023 00:17:36 GMT

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Expected salary:

Location: Markham, ON

Job date: Sun, 12 Nov 2023 05:59:32 GMT

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Job description: Machine Operator – Ogden, UT

Job Description

Machine Operator

Your Job

Operating a machine that produces top-notch products for ¼ of the world’s population is a hard job, but it’s worth it when you’re recognized often by your manager, supported by your team, and see the products you produce being used by your own family at the end of the day.

In this role, you will be running technologically advanced, high-speed manufacturing equipment and collaborating with new or junior team members to do their best work safely. This role is part of Kimberly-Clark’s substantial investment in creating new jobs and expanding its capabilities to produce premium Diapers, Pull Ups and Adult Depends that are essential to millions of lives around the world, and right here in Ogden, UT.

It starts with YOU.

About Us

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, 25% of people in the world use Kimberly-Clark products every day. We know that these amazing Kimberly-Clark products wouldn’t exist without skilled workers, like you. Here, you’ll use your skills to make some of the most helpful things for billions of people all around the world – all in a safe, stable, and caring environment. While our products support better lives for billions of people around the world, our to do their best work and enjoy life.

With manufacturing roles in 19 locations across the United States, there’s more than one way to create your future with our winning team. ; you just need to clock in!

Led by Purpose. Driven by You.

About You

As a person, you’re a learner, a natural leader – someone who is always reliable, taking initiative to solve problems, and teaming up with others to make things better for all. As a manufacturing professional, you have strong mechanical aptitude and deliver high value to your team by operating equipment at expected performance levels, and acting as a team player to exceed safety, productivity and quality goals. You also…

• Are 18 years or older and authorized to work in the United States
• Have both a High School Diploma or GED and/or 1 year of continuous work experience.
• Have basic computer knowledge, mechanical aptitude and good math skills
• Are able to maintain a work schedule of 12-hour rotating shifts, including nights, weekends, holidays and overtime
• Can pass a pre-employment drug + background screening
• Can pass post-offer / pre-hire Physical Abilities Test (PAT)

Total Benefits

Our manufacturing employees are some of our most important workers, our most loyal fans and our favorite people, so we take care of them really well. We’ve listed just a few of the many offerings that the incumbent of this role would enjoy, if hired.

Competitive Compensation with a starting wage range of $22.62 (with premium rates on Sundays) and available pay increases within your first year. You’ll also be included in our 401(k) and Profit-Sharing Plans.

Support for Great Health with options for medical, dental and vision coverage—and no waiting periods or pre-existing condition restrictions, you can start work with peace of mind on Day 1. You’ll also have access to an on-site Fitness Center and on-site Occupational Health Nurse and allowances for high-quality safety equipment.

Flexible Savings and spending accounts that let you maximize health care options and stretch your dollars further when caring for yourself or dependents.

Diverse Income protection insurance options such as Life insurance, Short and Long-term Disability insurance to help protect yourself and your family in case of illness, injury or other unexpected events.

Great support for amazing life choices. We know it takes time and resources to continue your education, adopt a child, relocate, or even find temporary childcare. That’s why Kimberly-Clark offers additional programs, reimbursements and stipends for the things that matter to your life, right now.

For a full overview of the many Benefits offered to Kimberly-Clark employees, go to .

To Be Considered

Click the Apply button and complete the online application process. To prepare for the interview process, you can check out the .

Veterans and members of the Reserve and Guard are highly encouraged to apply

And finally, the fine print…

For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

This role is available for local candidates already authorized to work in the role’s country only. Kimberly-Clark will not provide relocation support for this role.

Primary Location USA-UT-Ogden

Additional Locations

Worker Type Employee

Worker Sub-Type Regular

Time Type Full time

Expected salary:

Location: Ogden, UT

Job date: Thu, 05 Oct 2023 04:07:57 GMT

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