University research assistant jobs in Finland
University research assistants conduct academic research for the university or college they are employed in. They may assist professors they are affiliated with, their supervisor, in their research or develop their own in the related field of that professor.
University research assistant - Which skills are essential?
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.
Gather, process and analyse relevant data and information, properly store and update data and represent figures and data using charts and statistical diagrams.
Keep up with new research, regulations, and other significant changes, labour market related or otherwise, occurring within the field of specialisation.
Plan scholarly research by formulating the research question and conducting empirical or literature research in order to investigate the truth of the research question.
Discuss proposals and projects with researchers, decide on resources to allocate and whether to move forward with the study.
Apply scientific methods and techniques to investigate phenomena, by acquiring new knowledge or correcting and integrating previous knowledge.
Formulate scientific theories based on empirical observations, gathered data and theories of other scientists.
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.
Present the hypothesis, findings, and conclusions of your scientific research in your field of expertise in a professional publication.
The inner workings of a university, such as the structure of the relevant education support and management, the policies, and the regulations.
Assist engineers or scientists with conducting experiments, performing analysis, developing new products or processes, constructing theory, and quality control.
The theoretical methodology used in scientific research involving doing background research, constructing an hypothesis, testing it, analysing data and concluding the results.
University research assistant - Which skills are useful but not essential?
Carry out tests in a laboratory to produce reliable and precise data to support scientific research and product testing.
Utilise computer equipment or digital devices to facilitate quality control, data management, and communication. Follow instructions given by a computer programme, create computer files or documents.
Take students' opinions and preferences into consideration when determining learning content.
Prepare content to be taught in class in accordance with curriculum objectives by drafting exercises, researching up-to-date examples etc.
Apply mathematical methods and make use of calculation technologies in order to perform analyses and devise solutions to specific problems.
Record data which has been identified specifically during preceding tests in order to verify that outputs of the test produce specific results or to review the reaction of the subject under exceptional or unusual input.
Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.
Collect samples of materials or products for laboratory analysis.
Report test results with a focus on findings and recommendations, differentiating results by levels of severity. Include relevant information from the test plan and outline the test methodologies, using metrics, tables, and visual methods to clarify where needed.
Employ various approaches, learning styles, and channels to instruct students, such as communicating content in terms they can understand, organising talking points for clarity, and repeating arguments when necessary. Use a wide range of teaching devices and methodologies appropriate to the class content, the learners' level, goals, and priorities.
Take part in symposia, international experts’ conferences, and congresses to present research projects, methods, and results and to gather information on developments in academic research.
Execute efficient search on the internet in order to gather relevant information and share it with others.
The study of statistical theory, methods and practices such as collection, organisation, analysis, interpretation and presentation of data. It deals with all aspects of data including the planning of data collection in terms of the design of surveys and experiments in order to forecast and plan work-related activities.
Interpret and analyse data collected during testing in order to formulate conclusions, new insights or solutions.
Calibrate laboratory equipment by comparing between measurements: one of known magnitude or correctness, made with a trusted device and a second measurement from another piece of laboratory equipment. Make the measurements in as similar a way as possible.
Execute a systematic empirical investigation of observable phenomena via statistical, mathematical or computational techniques.
Support university students with the writing of their paper or theses. Advise on research methods or additions to certain parts of their dissertations. Report different types of errors, such as research or methodological errors, to the student.
Conduct academic research, at a university or college 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.
Develop and record the procedural method used for a specific scientific experiment in order to enable its replication.
Search for information or people using databases.
Analyse experimental data and interpret results to write reports and summaries of findings
Operate devices, machinery, and equipment designed for scientific measurement. Scientific equipment consists of specialised measuring instruments refined to facilitate the acquisition of data.
Assist the lecturer or professor by doing several educational tasks including helping with the preparation of lessons or the grading of students. Support the professor with academic and scientific research.
Prepare the content and the material required for practical lessons, explain technical notions to students, answer their questions and evaluate their progress on a regular basis.
Ensure that the necessary materials for teaching a class, such as visual aids, are prepared, up-to-date, and present in the instruction space.
Support and coach students in their work, give learners practical support and encouragement.
Gather relevant information by applying systematic methods, such as interviews, focus groups, text analysis, observations and case studies.