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Alison Doyle is a job search expert and one of the industry’s most highly-regarded job search and career experts. Alison brings extensive experience in corporate human resources, management, and career development, which she has adapted for her freelance work. She is also the founder of CareerToolBelt. Are you interested in a job with the United States Federal Government? Do you already have a job with the federal government and are seeking a new position?

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If you find the sheer volume of job openings overwhelming, use this guide to help tailor your search and apply for jobs successfully. By creating an account on USAJOBS, you can save specific jobs or save your job searches, and even receive emails for updates on new jobs that fit your search criteria.

You can choose to receive daily, weekly, or monthly email alerts for new jobs that meet your needs and interests. USAJOBS account members can post up to five resumes online, apply for federal jobs online, save job searches, and set up search alerts. Recruiters can search through the resumes online to find candidates for vacancies. There is a ‘resume builder’ that will help you create a resume. Since you can post several resumes on the site, be sure to tailor your resume to match the specific position you are applying to.

Even if you are applying to several federal jobs with similar job titles, the requirements may vary between the postings. You can also upload other necessary documents, including cover letters, transcripts and more. Search USAJOBS by keyword you can put in things like job title, department or agency as well as location,which can be as broad as a country or as narrow as a zip code.

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These hiring paths include current federal employees, veterans, individuals with disabilities, current and recent students, military spouses, Native Americans, family of overseas employees, Peace Corps and AmeriCorps Vista volunteers, and more. Some federal jobs are open to the general public, but others are only open to certain people based on their eligibility. You can filter your search to include only jobs for which you are eligible. Not sure what kind of job you are looking for?

You can use this list to get a sense of what kinds of jobs are in demand. For example, the current list of high-demand jobs includes economist, statistician, nurse, information technology manager, human resources manager, contractor, auditor, chemist, civil and mechanical engineer, physical scientist, biological scientist, and computer scientist. This is a great way to keep track of which jobs you’ve applied for, and where each application is in the review process. Creating an account is advantageous for many reasons.

Some of these are virtual, such as online training sessions for jobseekers on topics like developing a resume for federal jobs and interviewing. Others are national and international events for people seeking jobs with the federal government. For example, there are hiring workshops and recruiting events for jobs at specific agencies. You can check out upcoming events on the site’s homepage. The federal government has a site dedicated solely to veterans and their family members, called FEDShireVets.

This site has tools and resources for all U. For more information on how federal jobs get filled, the hiring process, federal job applications, civil service exams, and federal hiring trends, use the help center of USAJOBS.

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One obvious yet often overlooked implication of rising AI applications across all industries is integrating cutting-edge technologies and services into labor market platforms. Individuals should quickly obtain information regarding the latest high-quality skill updates and providers of such services. Furthermore, employment agencies should work efficiently, for example, by providing and autonomously updating digital platforms and posting online job positions for employment seekers.

For example, the Flemish public employment service VDAB has launched a digital platform that offers job seekers an orientation test that automatically provides personalized job suggestions and training programs using AI and ML. The relationship between new technologies and jobs is complex, as rapidly spreading, cutting-edge technologies such as AI and AR lead to uneven impacts across workers.

Recent research suggests that career changes, switching occupations, and moving across multiple employers and even across industries will increasingly become important for workers to remain employed. Policymakers should invest in measuring how these new technologies are adopted and used in firms to facilitate future research on the drivers of nuanced adjustments across different workers. Dauth, W. Adjusting to Robots: Worker-Level Evidence. Journal of the European Economic Association, forthcoming.

Graetz, G. Robots at Work. Review of Economics and Statistics 5 : Genz, S. Avi Goldfarb and Florenta Teodoridis. Footnotes Agrawal, A. Journal of Economic Perspectives 33 2 : Barbieri, L. In: K. Zimmerman ed. Furman, J. AI and the Economy. Innovation Policy and the Economy 19 1 : Acemoglu, D. Artificial Intelligence, Automation and Work. National Bureau of Economic Research, Inc. Bessen, J. Autor, D. Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share.

Brookings Papers on Economic Activity, Vol. Journal of Political Economy 6 : AEA Papers and Proceedings Koch, M. Robots and Firms. The Economic Journal : Cortes, G. Journal of Labor Economics 34 1 : Harrigan, J. Research Policy 50 7 : Boston Univ. Identify Potential customers, Influencers and decision makers. Search Visa Sponsorship, Farm jobs now available on Indeed. Apply securely with Indeed Resume. Why settle? Job Agent Get new jobs directly in your inbox.

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Further efforts to avoid interpersonal contact also lead to more virtual services than in-person services, including telehealth, and to the automation of many in-person customer service positions.

The alternate projections identify industries and occupations whose future employment trajectories are subject to high levels of uncertainty because of the pandemic. The goal is not to produce precise estimates of employment change over the projections period. Occupations and industries whose alternate projections deviate the most from their baseline projections are those which are subject to the greatest pandemic-induced uncertainty over the next 10 years.

Conversely, occupations with little difference between baseline and alternate projections have a narrower range of likely paths and are subject to less uncertainty. For example, employment of hosts and hostesses is projected to grow 8. This wide range means that employment of hosts and hostesses is subject to a high degree of uncertainty over the next 10 years. If restaurants largely revert to their prepandemic staffing preference for hosts and hostesses, the occupation is expected to grow.

However, permanent changes to consumer and firm preference for reducing interpersonal contact could lead to either moderate or strong declines for the occupation. In contrast, employment of chief executives is projected to decline The likely structural changes to consumer and firm behavior resulting from the pandemic outlined above do not lead to any significant staffing changes for chief executives that differ from the baseline.

Therefore, the pandemic-induced uncertainty in the employment trend for chief executives is expected to be small. This section presents the methodology used to develop the alternate projections, which involves adjustments to final demand, industry employment, and occupational staffing patterns. The —29 projections were used as the baseline projections.

The six steps involve the labor force, the aggregate economy, industry final demand, industry output, industry employment, and occupational employment. The results obtained at each step are key inputs to subsequent steps, and the sequence may be repeated multiple times to allow feedback and ensure consistency. See figure 2. The alternate scenarios discussed in this article use the baseline scenario as their starting point.

Two aspects of the employment projections process were changed in these alternate scenarios: final demand and occupational staffing patterns. The changes made to final demand flow through the rest of the process and change the output and employment results. In the alternate scenarios, the major final-demand projections from Macroeconomic Advisers by IHS Markit are no longer used as constraints for the modeled final-demand sectors.

Without constraints, the final-demand categories that would see uncertainty in the form of increased or decreased demand by consumers and firms can be changed directly. Changing final demand, however, implicitly changes aspects of the macroeconomic projections in the baseline scenario. In the next step of the process, the staffing patterns used in the BLS National Employment Matrix, which distributes employment from industries to detailed occupations, were altered.

These changes were made to address the impacts of the revised assumptions on structural changes in within-industry staffing decisions. Final demand is split up into 11 different groups—personal consumption expenditures PCE , private investment in equipment, private investment in intellectual property products, private investment in nonresidential structures, private investment in residential structures, change in private inventories, exports of goods and services, imports of goods and services, federal government defense consumption and investment, federal government nondefense consumption and investment, and state and local government consumption and investment.

The Employment Projections program uses final-demand sectors in its projections. The output in each final-demand sector is distributed to different commodity sectors with the use of a distribution matrix. A final-demand sector can have a 1-to-1 or 1-to-many mapping to commodity sectors.

For example, PCE final-demand sector 19, telephone and related communication equipment, has a 1-to-1 mapping to commodity sector 71, communications equipment manufacturing.

However, PCE final-demand sector 10, information processing equipment, has a 1-to-many mapping to seven different commodity sectors. The input—output framework used for the projections describes relationships between the final demand for commodities and the output and employment needed in each industry to meet that demand. The first change made for the alternate scenarios is the change to final demand for commodities—that is, any pandemic-induced increase or decrease in consumer demand for a particular good or service.

The input—output system, in particular the employment requirements matrix that is derived from the baseline projections, can be used to identify the employment impact on all industries, including those which supply intermediate goods and services, from a change in demand for a particular commodity. The final-demand changes are the basis for the employment changes in the alternate scenarios. Tables 1 and 2 show the intersection of the aforementioned final-demand sectors and the commodity sectors within the complete final-demand distribution matrix.

For example, final-demand sector , private investment in nonresidential structures, is distributed to five different commodity sectors. Table 1, however, shows that the only commodity sector whose final demand was changed as a result of final-demand changes to sector was commodity sector 15, construction.

If the final demand at the intersection of final-demand sector and commodity sector 15 is in in the baseline scenario, a 5-percent decrease indicates that the output at that intersection in the moderate impact scenario is 95 in Some final-demand categories have contributed to growth or decline in demand for multiple commodity categories. For example, final-demand sector , private investment in software, is distributed to four different commodity sectors. Table 1 shows that final demand was changed for three of the four commodity sectors.

When the output of a commodity sector changes, the distribution within the final-demand sector that sources that change is altered. Generally, in the moderate impact scenario, demand at specific intersections of final-demand sectors and commodity sectors increases or decreases by 5 percent, with some exceptions. In the strong impact scenario, the magnitudes of many of these changes increase, with some new commodities being affected by additional demand changes.

Tables 1 and 2 show all of the final-demand changes leading to the employment changes discussed in the analysis section. The matrix shows the distribution of occupational employment for wage and salary workers by industry, as well as the distribution of self-employed workers by occupation.

These distributions are called staffing patterns. For the alternate projections, staffing patterns were altered in each scenario to account for the changes employers are expected to make under the alternate assumptions. For example, in the moderate impact scenario, there was a projected final-demand increase in industry sector , scientific research and development services, because of increased demand for infectious disease research, treatments, and cures. Running that final-demand increase through the employment requirements matrix resulted in increased industry employment as well.

That industry employment is distributed, with the use of staffing patterns, to different occupations. By changing staffing patterns, the overall increase in industry employment can be directed to occupations specifically involved in infectious disease research, such as epidemiologists and microbiologists. If the staffing patterns were not changed, employment for all occupations in the industry would increase uniformly, which would result in comparable increases for occupations less related to infectious disease research, such as physicists.

The final-demand decrease for these industries caused industry employment decreases, which resulted in occupational employment decreases. The occupations that are expected to see their employment decrease can be targeted specifically by making staffing pattern changes.

In this case, ushers, lobby attendants, and ticket takers are taking a reduced share from the industry employment. This section examines the simulation results from the moderate and strong impact scenarios. The analysis highlights industries and occupations whose alternate projections diverge the most from their baseline projections. As mentioned previously, given uncertainty about the labor market outlook over the next decade, the purpose of these projections is to provide guidance on some of the potential long-term labor market impacts due to the pandemic rather than to provide specific values for any resulting changes in employment.

This subsection presents the results for the industry employment gains and losses expected under the two alternate scenarios. The retail trade industry is projected to experience the largest employment loss among all industries in both scenarios.

In the moderate impact scenario, employment in the industry is projected to decline by , from to , a decline of 4. See figure 3. In the strong impact scenario, the industry is projected to lose 1. With the exception of food and beverage stores and nonstore retailers, which are projected to see stronger employment under both alternate scenarios, employment in all retail industries is expected to weaken relative to the baseline projections.

The deeper contractions in retail trade employment are due to an expected acceleration in a number of trends already set in motion prior to the COVID pandemic. This prospect could be exacerbated by the rise in telework, which may reduce foot traffic along traditional storefronts.

Meanwhile, pandemic-related long-term changes to the in-store shopping experience of consumers will likely include an increase in contactless transactions through the use of mobile phone applications or self-service checkout kiosks. One of the major assumptions underlying many of the most notable changes in the alternate projections is the expectation that telework will be offered on a more permanent basis.

According to a BLS analysis, working from home is generally feasible in management, professional, and administrative support jobs, including those in the information, financial activities, professional and business services, and public administration industries.

Consumers may also prefer to continue using delivery, takeout, or curbside pickup services after the pandemic dissipates, which would possibly reduce staffing requirements for restaurant dining rooms and food counters. Within this context, in the moderate impact scenario, employment growth in the food services and drinking places industry is projected to be relatively anemic, at 1.


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