Job description: under this objective will also support the accelerated connection of more Nigerian homes, businesses, and institutions to electricity… (MEARL) Job category : Management R&D, project management Industries : Social, public and human services Employment…

Expected salary:

Location: Abuja, FCT

Job date: Sat, 25 Nov 2023 23:14:21 GMT

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The post Monitoring, Evaluation, Adaptation, Research and Learning (MEARL) appeared first on World News: Entertainment, lifestyle, Health, Technology.

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Social Work & Allied Health – Social Work Adults Services

Social Worker -Learning Disability – Camden

3196012033_1704375030

London, England

Up to £32.00 per hour

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Up to £32.00 per hour

Start Date: 09/02/2024

Social Work & Allied Health – Social Work Adults Services

Social Worker -Learning Disability – Camden

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Jan 04, 2024

We are actively seeking a highly skilled and motivated individual to take on the role of a Social Worker for Learning Disabilities service in Camden Council

Role Details:
Position: Social Worker – Learning Disabilities service
Pay Rate: £32.16

About the Role:

• You will work to the Adult Social Care operational principles in order to provide high quality and effective social work support, delivering excellent strengths based assessments, interventions, care planning, as appropriate. You will provide back up for our First Contact (duty) service and support and advice to all people making initial contact with the service, or in urgent situations when allocated workers are not available.
• You will manage a cases load of varying complexity. You will need to organise work activities taking into account the need to prioritize tasks and responsibilities, ensuring statutory responsibilities are undertaken
• You will undertake interviews, Mental Capacity Act assessments, observations and gather information from adults with learning disabilities, informal networks and other agencies to analyse, summarise and evaluate the information to provide a holistic assessment of needs, balancing risk and protective factors. You will undertake risk assessments of customers and developing positive risk management strategies as appropriate, including protection plans for those who require them.
• You will monitor and review support plans at regular intervals involving all stakeholders and ensuring the person with a learning disability is at the centre of the process. You will be providing advice and guidance to those making contact and managing new referrals coming in the service, together with our dedicated Access and Support Officer..

If you find this opportunity intriguing, please express your interest, or share your updated CV with or give us a call at 0114 700 3968. If this role doesnt quite align with your preferences but youre keen on exploring other opportunities, feel free to let us know.

Additionally, we offer a referral bonus of £300 for anyone you refer who is seeking employment. If you know someone suitable for this role, kindly pass on their details.

Benefits of working with Eden Brown Synergy include:

• DBS check processed and paid for by Eden Brown Synergy
• Referral bonus if you refer a colleague or friend to us
• Bonus for finding your own job
• Twice weekly payroll
• Dedicated recruitment consultant who will support you throughout your job search, employment and beyond.

Eden Brown Synergy is an equal opportunities employer.

Eden Brown Limited is a limited company registered in England and Wales with registered number 3643845. Our registered address is 5th floor 4 Coleman Street, London, EC2R 5AR, part of nGAGE Specialist Recruitment Limited T/A nGAGE Talent. Please consider the environment before printing this e-mail. This message is intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to us, and immediately and permanently delete it. Do not use, copy or disclose the information contained in this message or in any attachment. We take reasonable precautions to ensure no viruses are present in this email but cannot accept responsibility for any loss or damage sustained as a result of computer viruses and the recipient must ensure that the email (and attachments) are virus free.

Expected salary:

Location: Camden Town, North West London

Job date: Sat, 06 Jan 2024 00:10:37 GMT

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The post Social Worker -Learning Disability – Camden appeared first on World News: Entertainment, lifestyle, Health, Technology.

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Social Work & Allied Health – Social Work Children Services

Social Worker-Adult Learning Disability-Bromley

3189112033_1702480411

London, England

Up to £32.00 per hour

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Up to £32.00 per hour

Start Date: 31/01/2024

Social Work & Allied Health – Social Work Children Services

Social Worker-Adult Learning Disability-Bromley

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Dec 13, 2023

We are actively seeking a highly skilled and motivated individual to take on the role of a Social Worker in Adult Learning Disability Team in Cornwall

Role Details:
Position: Social Worker – Adult Learning Disability Team
HOURLY RATE : £32.00 per hour

About role:
The London Borough of Bromley, Adult Learning Disability team are looking for a Social Worker to join our friendly but hard-working team. The role comprises of care management work such as completing strength-based care act assessments, MCA’s, occasional management of duty, annual statutory reviews, CHC, COP work Safeguarding and longer-term case work.
The Learning Disability team provides care management and safeguarding support under the Care Act 2014 to people over the age of 18 who are in need of community care services. These include services for people with LD and or Autism and people who provide unpaid care to friends or family.

If you are interested in any of the above positions, then please let me know or send your updated CV or call on 0114 700 3968 . Alternatively, if these aren’t quite right but you want to know about other opportunities, please let me know.

Also, we have a referral bonus of £300 if you know of anyone who is looking for work, please pass their details

Benefits of working with Eden Brown Synergy include:

• DBS check processed and paid for by Eden Brown Synergy
• Referral bonus if you refer a colleague or friend to us
• Bonus for finding your own job
• Twice weekly payroll
• Dedicated recruitment consultant who will support you throughout your job search, employment and beyond.

Eden Brown Synergy is an equal opportunities employer.

Eden Brown Limited is a limited company registered in England and Wales with registered number 3643845. Our registered address is 5th floor 4 Coleman Street, London, EC2R 5AR, part of nGAGE Specialist Recruitment Limited T/A nGAGE Talent. Please consider the environment before printing this e-mail. This message is intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to us, and immediately and permanently delete it. Do not use, copy or disclose the information contained in this message or in any attachment. We take reasonable precautions to ensure no viruses are present in this email but cannot accept responsibility for any loss or damage sustained as a result of computer viruses and the recipient must ensure that the email (and attachments) are virus free.

Expected salary: £32 per hour

Location: Bromley, Greater London

Job date: Thu, 14 Dec 2023 23:40:02 GMT

Apply for the job now!

The post Social Worker-Adult Learning Disability-Bromley appeared first on World News: Entertainment, lifestyle, Health, Technology.

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

Apply for the job now!

The post Machine Learning Engineer, Research Officer appeared first on World News: Entertainment, lifestyle, Health, Technology.

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!

The post Sr. Machine Learning Engineer, Search E-Commerce – USDS appeared first on World News: Entertainment, lifestyle, Health, Technology.

Job description: Job Details:

Salary Range: £30,859 to £33,951 pro rata per annum

Work Location: Elizabeth II Court, Winchester (hybrid working – home and office based)

Hours per week: 37

Contract type: Permanent

Closing Date: 7 January 2024
Interview Date: 18 January 2024

The Role:

Are you someone who cares that individuals receiving care and support are supported by a skilled workforce that are confident in their role, capable of delivering high quality care and motivated by the training they receive? Then this role could be the perfect fit for you.

In your role within our fast-moving Adults’ Health and Care directorate, you will enjoy working with others and have current knowledge and operational experience working in the social care sector. You will also have an understanding of the social care landscape and main priorities of Adults’ Health and Care.

Self-motivated, willing to learn and with excellent communication and organisational skills, you will support the development and delivery of innovative, inspirational, cost-effective learning and development and projects.

Most importantly you will be passionate about the contribution that high quality learning and development activities has in the delivery of excellent outcomes for service users.

In return, we are committed to your continued personal development and offer an extensive Benefits package.

Travel Requirements

You will be required to travel to various locations within Hampshire and the Isle of Wight or other local authority, and it is essential that you have a current drivers’ licence and access to a reliable vehicle on a regular basis.

Values Based Recruitment

We recruit for attitudes and values in Adults’ Health and Care. We invite you to evidence how you demonstrate the 4 core values we hold in your application.

The 4 core values are:

• Person Centred: Has a person centred and strengths-based approach that empowers service users and carers to live independent lives.

• Resilience: Successfully manages change and develops and maintains their wellbeing and resilience.

• Accountable: Takes responsibility for work, actions and development; and acknowledges individual and shared accountability.

• Works Together: Builds supportive internal and external working relationships through positive communication and constructive feedback.

Additional Information:

For more information about Adults’ Health and Care, the team and the role, please read our

Vetting Requirements:

Contact Details for an Informal Discussion:

For general enquiries please contact . For an informal chat about the role please contact Mandy Matley, Learning and Development Team Manager, via

Hampshire County Council is committed to safeguarding and promoting the welfare of children, young people and adults. We expect all employees, workers and volunteers to share this commitment. We will ensure that all our recruitment and selection practices reflect this commitment.

In order to combat discrimination, no unnecessary conditions or requirements will be applied which could have a disproportionately adverse effect on any one group. All sections of the population will have equal access to jobs. No applicant or employee will receive less favourable treatment because of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership and pregnancy or maternity, unless a Genuine Occupational Requirement (GOR) applies.

We are a Disability Confident Employer – committed to ensuring that our recruitment and selection process is inclusive and accessible.

Expected salary: £30859 – 33951 per year

Location: Winchester

Job date: Thu, 21 Dec 2023 02:58:02 GMT

Apply for the job now!

The post Assistant Learning and Development Officer (Adults’ Health and Care) HCC613673 appeared first on World News: Entertainment, lifestyle, Health, Technology.

Job description: Our client is looking for an experienced Learning & Development Associate to join their team! The ideal candidate must have at least 3 year of solid auto insurance sales experience and proven track record in educating/coaching a team on product knowledge.

Location: Vancouver, BC

Responsibilities and Duties include but are not limited to:

• Utilize company program to coach and educate new and existing employees
• Conduct engaging training sessions in person on product specifics and sales strategies
• Continuously update training materials to reflect changes in polices, regulations, or new product introductions
• Assess program effectiveness through evaluation, feedback, and performance metrics
• Achieving and surpassing sales goals and targets

Requirements:

• 3 years+ solid auto insurance experience with proven track record in high sales
• Prior experience in education and coaching team on product knowledge
• Insurance Broker Level 1 License (must obtain Level 2 within 6 months of employment)
• Excellent communication and customer service skills
• Salary Package: Base + Comissions + Bonus

–

DGA Careers has been proudly serving the Canadian insurance industry for over 30 years, specializing in providing insurance recruiting services to major insurers, insurance brokerage firms and independent adjusting firms. With offices in Toronto, Vancouver, Montreal, Edmonton, and Calgary, DGA Careers is well positioned to conduct searches with a national scope. Our unrivalled professional network across Canada provides us with the ability to reach vital key influencers and passive candidates nationally.

Interested candidates please contact Vanessa Ip at 778-383-9790 ext. 105 or forward your resume in confidence to vanessa@dgacareers.com. If you are working with another DGA recruiter, feel free to ask them about this position.

Expected salary:

Location: Vancouver, BC – Burnaby, BC

Job date: Fri, 08 Dec 2023 06:57:05 GMT

Apply for the job now!

The post Learning & Development Associate appeared first on World News: Entertainment, lifestyle, Health, Technology.

Job description: Company description FHI 360 is an international nonprofit working to improve the health and well-being of people in the United States and around the world.

Job Ad & Profile Description

Position : Monitoring, Evaluation and Learning Director

Job Summary:

The Monitoring, Evaluation and Learning Director will provide leadership and technical guidance to the program team on all monitoring, evaluation, and learning-related issues. Under the direction of the Chief of Party and in close collaboration with the technical leads, the MEL Director will be responsible for the design, implementation and quality of all monitoring, evaluation, and learning components of the project. This includes leading and supervising the activity learning agenda, data management systems, data quality, data dissemination and use as well as any technical assistance and capacity development of program staff and health system staff with the aim to improve quality of routine and programmatic data. They will provide strategic direction for a robust learning agenda for continuous learning, collaboration, and adaptation during the life of the project. They will serve as the primary point of contact for establishing and managing an evaluation and monitoring system responsive to USAID reporting and learning requirements. The position will be based in Abuja and will report to the Chief of Party. Recruitment is contingent upon successful award of the project and the selection of final applicant is subject to USAID approval.

Accountabilities:

• Lead the design and implementation of the project’s monitoring and reporting activities across multiple states in Nigeria, including development of the project’s results framework and Performance Monitoring Plan; development and monitoring of project indicators; oversight of routine data collection and data management; data quality assessments (DQA); synthesis and analyses of data and presentation of project lessons and results; and reporting, both internally and externally as required/needed.
• Lead the design and implementation of the project’s evaluation activities (as applicable), including periodic reviews, performance evaluations (baseline, midline, endline), outcome and impact evaluations.
• Guide and maintain relevant protocols, SOPs, instruments, data sets, manuals, training materials and reports pertaining to monitoring, evaluation, and learning; ensure that these all adhere to FHI 360 and international policies and standards; and ensure that they remain technically and ethically sound.
• Oversee a team of MEL staff for the project and ensure clear roles and responsibilities and lines of communication are maintained amongst the team members. This includes conducting performance management and professional development of direct reports and of the entire MEL team, i.e., provision of constructive feedback, ongoing coaching, and career support, as needed and appropriate. Foster teamwork and collaboration within the MEL team and across project teams.
• Develop and oversee implementation of strategies for capacity strengthening (as needed) of staff, implementing partners, government counterparts, and other stakeholders in MEL systems/tools, data management, health informatics, data analysis and use for program planning and improvements, and other priority areas/skills.
• Ensure the quality and timely preparation and submission of workplans, data sets, progress reports, and papers summarizing project results and evidence, and other deliverables, as required. This includes ensuring effective data analysis/interpretation and data use to inform management decision-making, support quality improvement efforts, and contribute to broader learning.
• Ensure the quality of data collected to measure project performance and results, through proper ongoing data management, SOPs for data flow and Quality Assurance, periodic Data Quality Audits (DQAs), and adequate orientation/training of staff, partners, and beneficiaries at all levels of the project.
• Champion project learning across project, sub-partner and MOH partners. Find and implement innovative ways to encourage collaborative learning.
• Manage and oversee multiple data systems to efficiently collect, link and analyze data at the individual, provider and health facility level using a variety of platforms. Ensure high-quality project data are collected and managed in a way that maximizes their use for project learning.
• Oversee and contribute to operational research, implementation science and embedded or partner studies. Lead or contribute to knowledge products arising from project learning including developing policy or technical briefs, presentations, webinars, training materials, manuscripts, blogs, etc.

Problem Solving & Impact:

• Works on problems of complex scope and require in depth evaluation of issues and assessment of intangible factors.
• Exercises judgment within broadly defined practices and policies to select methods and techniques for obtaining results.
• Decisions made generally affect overall success of functional, division or company operations.
• Problems encountered are complex, highly varied and require considerable judgment to obtain results.
• Erroneous decisions may result in critical delay(s) in schedules.

Supervision Given/Received:

• Provides direct supervision of a team of MEL staff including in offices across multiple states in Nigeria.
• Reports to the Chief of Party.

Required profile for job ad : Monitoring, Evaluation and Learning Director

Applied Knowledge & Skills:

• Comprehensive knowledge of concepts, practices, and procedures with project/research management and MERL, CLA, and knowledge management, particularly around RMNCH+N+M programs.
• Excellent and demonstrated project/research management and technical skills.
• Excellent oral and written communication skills.
• Excellent and demonstrated organizational and problem-solving skills.
• Ability to influence, motivate, negotiate and work well with others.
• Ability to exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions.
• Comprehensive knowledge of concepts, practices and policies related to specialized technical area of expertise.
• Proven ability to ensure that budgets, schedules, and performance requirements are met.
• Excellent and demonstrated leadership skills.
• Excellent critical thinking and problem-solving skills.
• Excellent oral and written communication and analytical skills in English.

Education:

• Master’s degree or its equivalent in public health evaluation or Social Sciences,
• Statistics or any related field.
• Project Management (PM) Certification preferred.

Experience:

• Minimum of 12+ years of experience working on MEL for donor-funded health projects, preferably those involving health systems strengthening, capacity strengthening and/or RMNCH+N+M, including 8+ years of leadership, strong business acumen and/or line management experience.
• Strong familiarity with USAID health and capacity strengthening programming.
• Knowledgeable on reporting procedures, best practices, guidelines, and tools for MEL of health projects.
• Strong writing and organizational skills for monitoring and reporting on program and study results.
• Strong communication abilities, including communication with both technical and non-technical audiences.
• Experience using quantitative and qualitative data analysis methods, mixed methods, and MEL practices to answer program learning and evaluation questions and to inform adaptive management.
• Proven experience working with and building the capacity of Ministries of Health (MoH) and understanding of MoH systems at national and sub-national levels.
• Demonstrated leadership skills and the ability to work collaboratively with IPs, donors and host country partners and stakeholders.
• Working knowledge of and experience with USG-funded program management, policies, regulations, and procedures.
• Strong interpersonal, writing, and oral presentation skills in English
• Prior work experience in a non-governmental organization (NGO) is preferred.

Typical Physical Demands:

• Typical office environment.
• Ability to spend long hours looking at computer screen and doing repetitive work on a keyboard.
• Ability to sit and stand for extended periods of time.
• Ability to lift/move up to 5 lbs.

Technology to be Used:

• Personal Computer/Laptop, Microsoft applications (i.e., Office 365, SharePoint, Skype/Zoom/Teams), cell phone/mobile technology, and standard office equipment

Travel Requirements:

• Up to 30%

Job criteria for job ad : Monitoring, Evaluation and Learning Director Job category :

Management

R&D, project management
Industries :

Associative activities

Social, public and human services
Employment type :

Permanent contract – Fixed-term contract
Region :

Expected salary:

Location: Abuja, FCT

Job date: Fri, 22 Dec 2023 23:44:00 GMT

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Job description: Today, LCI Education operates on five continents, with 12 institutions of higher learning, 23 campuses and some 2,000 colleagues involved in the education of more than 20,000 learners worldwide each year.
LCI also provides expertise and talent to businesses by offering business solutions to address human capital challenges. From country to country, LCI Education focuses on harmonizing its programs, which allows for greater flexibility, better control over the quality of its services and a deeper respect for the various cultures it serves. LCI Education has been named one of Canada’s Best Managed Companies.
As part of their duties, under the supervision of the Director of Continuing Education and Partnerships, the incumbent will be responsible for managing the internships of LaSalle College programs. In collaboration with the program manager and student coordinator, the incumbent will ensure the placement, monitoring, and communication with students, teachers, and internship supervisors, particularly for Human Techniques programs. They will also manage agreements and students in the context of workplace learning and in certain programs. Additionally, the incumbent will participate in the daily activities of the Employment, Partnerships, and Continuing Education Service.

RESPONSIBILITIES
Your main responsibilities will be:

Supporting students in developing their tools for internship preparation and workplace learning periods (CV, cover letter, interview simulation, workshop on workplace learning search strategies, etc.) in collaboration with teachers and program coordination;
Contacting and following up with potential internship and workplace learning environments and maintaining privileged relationships with our current partners and developing new placement partnership agreements;
Establishing good matches between students and internship or workplace learning environments;
Managing admission tests for selected program students;
Managing internship agreements for all relevant college programs;
Supporting and mentoring students throughout the internship placement process and during internships or workplace learning periods, analyzing causes of difficulties;
Managing student attendance or absence in workplaces;
Supporting and mentoring internship supervisors throughout the internship and in difficult situations;
Producing and updating documentation related to internships and workplace learning, in English and French;
Communicating and following up with program teachers, program management, and team leaders regarding student success in internships and workplace learning;
Keeping the client and partner database up to date on CRM and Sales Navigator;
Participating in budget monitoring and annual evaluation reports for the Ministry of Education and Higher Education for students enrolled in workplace learning programs;
Ensuring follow-up related to travel expenses and other expenses related to workplace learning and internship periods;
Assisting in the planning and organization of events and activities of the Employment, Partnerships, and Continuing Education Service (fairs, collective information meetings, open house days, networking evenings, career days, and other activities);
Collaborating on other Employment and Continuing Education Service projects (work-study alternation, Portfolios website, Service Quebec partnership);
Participating in the promotion of certain programs to prospective students and potential new workplace environments;
Any other related tasks.

REQUIRED QUALIFICATIONS
Education

Hold at least a DEC (college diploma);
1 to 2 years of relevant experience related to the job description.

PERSONAL AND PROFESSIONAL SKILLS

Understanding of the community, education, and/or health sector;
Excellent communication skills in French and English, both oral and written;
Knowledge of Office suite software (Word, Excel, PowerPoint);
Knowledge of CLARA pedagogy software (an asset);
Understanding of college teaching issues (an asset).

The ideal candidate must have a good sense of customer service and not be afraid to communicate frequently by phone, internal Omnivox messaging (MIO), and email. The chosen person will -oriented and enjoy taking initiative in their work. Additionally, the ideal candidate will have very good communication skills, interpersonal relationship-building abilities, and be able to work with diverse stakeholders (students, teachers, administrative personnel) in a team-oriented environment.

ADVANTAGES

International company established for over 60 years;
Network in constant growth;
Permanent full-time position-35 hours/week;
Competitive salary;
Hybrid work;
Transportation allowance;
Continuous training program;
Daycare in the workplace;
Group insurance and RREGOP pension plan;
Free cooking classes;
Health and wellness program (including lunchtime yoga classes);
Company located in downtown Montreal, ideal for public transportation.

Do you want to contribute to innovative projects in collaboration with teams from all sectors? Do you dream of working for a Quebec-based company with a global reach? Do you want to join a diversified and human team that looks to the future? What are you waiting for? Please note that only selected candidates will be contacted.
LCI Education is an equal opportunity employer and members of the following target groups are encouraged to apply: women, person with disabilities, Aboriginal people, visible minorities and ethnic minorities. If you are an applicant/person with a disability, you can receive assistance with the screening and selection process upon request.

Expected salary:

Location: Montreal, QC

Job date: Wed, 01 Nov 2023 06:58:08 GMT

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The post INTERNSHIP AND WORKPLACE LEARNING COORDINATOR appeared first on World News: Entertainment, lifestyle, Health, Technology.

Job description: , and are now active in more than 80 countries. The opportunity Plan International Nigeria, as part of its commitment to improving the… effectively with multiple counterparts in private, public and NGO sectors. Strong understanding of gender transformative data…

Expected salary:

Location: Yola, Adamawa State

Job date: Fri, 15 Dec 2023 23:24:19 GMT

Apply for the job now!

The post Monitoring, Evaluation, Research and Learning (MERL) Officer appeared first on World News: Entertainment, lifestyle, Health, Technology.