Occupation intelligence

university research assistant

Key facts

Are you passionate about academic research and eager to contribute to groundbreaking discoveries? As a university research assistant, you'll play a vital role in supporting faculty and advancing knowledge within a specific field of study.

Summary

University research assistants work within a university or college setting, typically under the guidance of a professor or supervisor. Your daily tasks can vary significantly depending on the research project, but generally involve assisting with data collection, analysis, and interpretation. You might also contribute to literature reviews, manuscript preparation, and the development of research methodologies. This role offers a fantastic opportunity to gain practical research experience and deepen your understanding of your chosen discipline.

Key responsibilities
  • • Collecting and analyzing data using various research methods.
  • • Conducting literature reviews and synthesizing existing research.
  • • Assisting in the preparation of research reports, presentations, and publications.
40%
Resilience Score · 2026 (Higher is better)
Bachelor's or equivalent level 50% AI exposure
Start Career DNA assessment
Labour market

Where this occupation is in demand

Reported labour shortages and surpluses, by year. Published for occupation groups, not for individual job titles.

Shortage reportedSurplus reportedBoth reportedReported in another yearNot covered by this source

Deeper colour: reported the same way in more consecutive years.

Figures cover Teaching professionals — 131 jobs including this one.

3 of 7 in shortage20259 of 32 growing2.8Mopenings to 2035

In shortage: Greece, Luxembourg, Spain.

Longest-running shortage: Switzerland, 3 years.

Select a place on the map to see its figures.

About this source

Source: ELA/EURES labour shortages and surpluses. Readings are published at occupation-group level, and cover Europe. Editions differ in annex layout and country coverage, so a change between years does not always mean the labour market changed. Countries in grey were not reported, which is not the same as being in balance.

Explore More

Find your career path and explore the science behind our recommendations.

Guiding others? See NexPath for schools and practices.
Quick fit check

Could university research assistant fit you?

Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.

Progress0/3

Do you enjoy tasks that require Initiative?

Do you enjoy tasks that require Achievement/Effort?

Do you enjoy tasks that require Integrity?

NexFuture™

Future Outlook for university research assistant

The outlook for university research assistant reflects a balanced mix of automation exposure and durable, human-led work.

How are these scores calculated?

The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.

Play the future

How could university research assistant change as AI adoption grows?

This role is likely to change gradually, with AI supporting selected tasks rather than replacing the whole occupation.

Significant task-level transformation is estimated in 12 years (around 2038) under the selected Expected Pace scenario.
~35%
Resilience
Automation Risk
EXP~55%
Human advantage
MOAT~40%

Illustrative scenario based on task automatability — not a forecast. Values are rounded the further ahead you look.

2026
2033
2043
AI Adoption Speed:

How AI may change this role

Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.

Human-owned 40% Human-owned
What still depends on people
  • interact professionally in research and professional environments
  • evaluate research activities
  • assist scientific research
The Human Edge To stay ahead in this role, focus on university procedures and research design. These human-centric skills are the hardest for AI to replicate in the next 20 years.
Assist 21% Assist
Where AI may become a co-pilot
  • develop scientific theories
  • manage open publications
  • demonstrate disciplinary expertise
Automate 50% Automate
Tasks most exposed to automation
  • synthesise information
  • apply for research funding
  • manage research data
Detailed Analysis

Vital Signs & AI Vectors

AI Exposure Vectors

0-100%
AI / Machine Learning 21%

Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks

Generative AI 11%

Exposure to content generation, creative augmentation, and large language model tools

Robotic & Physical Automation 1%

Exposure to physical automation, robotics, and sensor-driven task displacement

Cognitive Software 1%

Exposure to workflow automation, decision-support software, and process digitisation

Technical Details
Methodology: NexFuture v3.0 Sources: O*NET® 30.3, ESCO v1.2.1 Updated: Aug 2026

NexFuture v3.0 estimates automation exposure natively from ESCO essential-skill groups, weighted by skill mass and calibrated against expert anchors. Scores are probabilistic estimates, not guarantees. See the NexFuture Methodology White Paper for full details.

Measures automation exposure. It does not measure pay, demand, or how many jobs exist near you.

Day in the life

What people in this role usually do

Education

Day in the life

A typical day as a university research assistant

09
09:00 · Morning
apply for research funding
Identify key relevant funding sources and prepare research grant application in order to obtain funds and grants. Write research proposals.
10
10:30 · Mid-morning
apply research ethics and scientific integrity principles in research activities
Apply fundamental ethical principles and legislation to scientific research, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism.
12
12:00 · Midday
develop scientific theories
Formulate scientific theories based on empirical observations, gathered data and theories of other scientists.
14
14:00 · Afternoon
manage intellectual property rights
Deal with the private legal rights that protect the products of the intellect from unlawful infringement.
15
15:30 · Late afternoon
operate open source software
Operate Open Source software, knowing the main Open Source models, licensing schemes, and the coding practices commonly adopted in the production of Open Source software.
17
17:00 · Wrap-up
study topics
Carry out effective research on relevant topics to be able to produce summary information appropriate to different audiences. The research may involve looking at books, journals, the internet, and/or verbal discussions with knowledgeable persons.

Task order is illustrative. Individual days vary.

Software & Technologies & Knowledge areas
Software & Technologies
Adobe IllustratorAdobe InDesignAppletreeC++Database softwareESRI ArcGIS softwareExtensible markup language XMLGraphics softwareIBM SPSS StatisticsJavaScriptMicrosoft AccessMicrosoft ExcelMicrosoft Office softwareMicrosoft OutlookMicrosoft PowerPointMicrosoft SQL ServerMicrosoft Visual BasicMicrosoft WordOnline library databasesOracle Java
Knowledge areas
  • university procedures

    The inner workings of a university, such as the structure of the relevant education support and management, the policies, and the regulations.

  • cognitive computing

    The interdisciplinary field between cognitive science and computer science that involves simulating human thinking processes through a computerised approach. It makes use of algorithms for data mining and natural language processing to imitate the functioning of the human brain.

  • computational biology

    The interdisciplinary scientific field that focus on employing data analytics and theories to investigate biological systems obtained through experiments.

  • computational chemistry

    The branch of chemistry that aims at addressing complex chemical problems through computer simulations.

  • computational mechanics

    The use of modelling and simulation to predict complex physical behaviours in science and engineering. It interacts with other areas in mechanics including solid mechanics and fluid mechanics, but also material science, mathematics and numerical methods.

  • European integration

    The evolving and ongoing process of economic, social, and political integration among European countries to enhance their cooperation, collaboration, and prosperity, as well as to overcome historical conflicts seeking peace and stability. European integration has its roots after the Second World War, although the development of the European Union represents its core element.

Cross-sector skills
  • research design
  • scientific literature
  • scientific research methodology
Essential skills
conducting academic or market research
  • conduct scholarly research

    Plan scholarly research by formulating the research question and conducting empirical or literature research in order to investigate the truth of the research question.

  • manage findable accessible interoperable and reusable data

    Produce, describe, store, preserve and (re) use scientific data based on FAIR (Findable, Accessible, Interoperable, and Reusable) principles, making data as open as possible, and as closed as necessary.

  • perform scientific research

    Gain, correct or improve knowledge about phenomena by using scientific methods and techniques, based on empirical or measurable observations.

  • study topics

    Carry out effective research on relevant topics to be able to produce summary information appropriate to different audiences. The research may involve looking at books, journals, the internet, and/or verbal discussions with knowledgeable persons.

  • apply scientific methods

    Apply scientific methods and techniques to investigate phenomena, by acquiring new knowledge or correcting and integrating previous knowledge.

  • apply research ethics and scientific integrity principles in research activities

    Apply fundamental ethical principles and legislation to scientific research, including issues of research integrity. Perform, review, or report research avoiding misconducts such as fabrication, falsification, and plagiarism.

technical or academic writing
  • draft scientific or academic papers and technical documentation

    Draft and edit scientific, academic or technical texts on different subjects.

  • write research proposals

    Synthetise and write proposals aiming to solve research problems. Draft the proposal baseline and objectives, the estimated budget, risks and impact. Document the advances and new developments on the relevant subject and field of study.

  • disseminate results to the scientific community

    Publicly disclose scientific results by any appropriate means, including conferences, workshops, colloquia and scientific publications.

  • publish academic research

    Conduct academic research, in universities and research institutions, or on a personal account, publish it in books or academic journals with the aim of contributing to a field of expertise and achieving personal academic accreditation.

  • write scientific publications

    Present the hypothesis, findings, and conclusions of your scientific research in your field of expertise in a professional publication.

managing information
  • manage research data

    Produce and analyse scientific data originating from qualitative and quantitative research methods. Store and maintain the data in research databases. Support the re-use of scientific data and be familiar with open data management principles.

  • archive scientific documentation

    Store documents such as protocols, analysis results and scientific data using archiving systems to enable scientists and engineers to take methods and results from previous studies into account for their research.

managing, gathering and storing digital data
  • use data processing techniques

    Gather, process and analyse relevant data and information, properly store and update data and represent figures and data using charts and statistical diagrams.

working with others
  • interact professionally in research and professional environments

    Show consideration to others as well as collegiality. Listen, give and receive feedback and respond perceptively to others, also involving staff supervision and leadership in a professional setting.

monitoring developments in area of expertise
  • monitor developments in field of expertise

    Keep up with new research, regulations, and other significant changes, labour market related or otherwise, occurring within the field of specialisation.

programming computer systems
  • operate open source software

    Operate Open Source software, knowing the main Open Source models, licensing schemes, and the coding practices commonly adopted in the production of Open Source software.

using foreign languages
  • speak different languages

    Master foreign languages to be able to communicate in one or more foreign languages.

Skill DNA

Skill DNA

Work personality traits and values that define this role

Key traits you need
Initiative Achievement/Effort Integrity Adaptability/Flexibility Independence Analytical Thinking Persistence Dependability Concern for Others Stress Tolerance Self-Control Innovation Leadership Cooperation Attention to Detail Social Orientation
Key rewards you can expect
AchievementWorking Condit…RecognitionRelationshipsSupportIndependence
Career progression

Growth Pathways & Similar Roles

Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.

Career landscape

Where does university research assistant fit?

This role
university research assistant This role
Growth paths

Similarity scores based on skill overlap from ESCO data.

Common questions

Frequently asked questions

What level of independence is expected in this role?
While you’ll primarily work under the direction of a professor or supervisor, the role often allows for increasing independence as you gain experience. You may be tasked with managing specific aspects of a project or even developing your own research ideas within the broader scope of the professor’s work.
Is this role suitable for someone considering a postgraduate degree?
Absolutely! A university research assistant position is an excellent way to gain valuable research experience, build connections with faculty, and explore potential research areas for a master's or doctoral degree. It can also strengthen your application for further study.
What skills are particularly valuable for a university research assistant?
Strong analytical skills, attention to detail, proficiency in relevant software (e.g., statistical analysis packages), excellent written and verbal communication skills, and the ability to work both independently and collaboratively are all highly valued. Familiarity with research ethics and data privacy protocols is also essential.
University Research Assistant — is there a shortage in Europe?
No. In the 2025 ELA/EURES edition, a surplus was reported in 4 of the 7 European countries that assessed this occupation group: Austria, Czechia, Germany, Latvia. 3 countries reported a shortage. These assessments are published per occupation group rather than per job title.
University Research Assistant — what does it pay in the United States?
$58,040 a year at the median, as of 2025-05. State medians run from $26,560 to $69,090. Source: US Bureau of Labor Statistics. This is a United States figure and not a projection for Europe.