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Data Analysis & Machine Learning

Data Analysis & Machine Learning

Data Analysis & Machine Learning remote internships are perfect for anyone interested in instrumentation or measurement systems. Interns are matched with technical consultancy firms, which work in the fields of industrial research and education. Remote interns learn about image classification, nanomaterials and customized laboratory software for data acquisition.

Internship Highlights:
  • Gain hands-on development and computer engineering skills
  • Learn highly specialized image classification, data acquisition and analysis techniques
  • Gain international experience while interning remotely from home without having to travel
Type of host organizations:
  • Technical consulting companies
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Gain academic or course credit
Everything arranged for you from $1099 (approximately 1099)
Available year-round, start when you like
Intern part-time or full-time from anywhere
Choose your duration: 100, 200 or 350 hours
Personal online orientation & coaching
Get job-ready with our Experiential Learning Curriculum
Internships align with UN Sustainable Development Goals
Eligibility requirements and Associated career paths
Eligibility requirement

Interns must have a strong understanding of computers and their use, along with a basic knowledge of statistics and experience in Python or LabVIEW Programming. Students aged 18+ may be accepted, depending on the strength of their application (including any relevant experience, with a desire to learn and grow within this field).

Language requirements

This internship is conducted in English.

Associated career paths

Electrical / Electronic Engineering, Systems Engineer, Data Analyst, Chemical Engineer, Software Engineer

Internship details

Data Analysis & Machine Learning remote internships are perfect for anyone interested in instrumentation or measurement systems. Interns are matched with technical consultancy firms, which work in the fields of industrial research and education. Remote interns learn about image classification, nanomaterials and customized laboratory software for data acquisition.

This is a remote internship you can conduct from home.

This Data Analysis & Machine Learning remote internship is focused on the fields of Engineering and Computer Science. If you have an interest and background in engineering, data processing, and software development, then you are an ideal participant for this internship.

As an intern, you’ll be matched with a technical consultancy firm that supports industrial research and educational activities in the marine, automotive and agricultural sectors. You can focus your internship on either image classification and analysis of nanomaterials, or customized laboratory software for data acquisition.

When interning in image classification and nanomaterial analysis, you’ll gain valuable skills in understanding and assessing images, and learning recognition techniques. You’ll learn about the classification of a range of material, including nanomaterial and marine/aquarius species, and gain experience developing industrial grade data acquisition setups, in order to educate engineers on IoT systems, remote measurement and data collection techniques.

Interns who focus on data acquisition and analysis can expect to gain real-world experience in dynamic activities related to training datasets, extracting information from images, acquiring/analyzing data, and creating professional reports.

If you’re looking to boost your resume, develop your network, and gain real-world software development and engineering experience that can complement your studies, this remote internship provides practical insight into a growing field with broad possibilities.

Remote interns maintain regular contact with your supervisor in Greece through emails and video conferences. Your supervisor will help to give feedback on your progress, to fortify your learning, answer your questions, and provide updates in regard to activities and tasks. This will mean you’ll need to be available for occasional meetings during office hours in Greece.

In all cases, interns should expect that the initial phase of their remote internship will focus on gaining some introductory knowledge. You may start by gaining an understanding or overview of what you can build upon, develop, learn, and contribute. Ensure that you ask questions and provide feedback during the introductory period, so that your supervisor understands how you’re progressing. This will help them to better understand important details, such as how quickly you learn, what you find challenging, what you find interesting, etc.

Understand and expect that individual internship experiences vary. Therefore, if you’re at a more introductory level, you should reasonably expect a more introductory internship. Likewise, if you’re interning for a shorter duration, you will have a different experience from someone who is interning for a longer duration. Placement preferences are considered but always subject to availability.

Career Benefits

Data Analysis & Machine Learning interns learn from a qualified and experienced supervisor, and can be involved in:
  • Training datasets for image recognition

  • Extracting information from images, for data analysis

  • Acquiring and analyzing sensory data

  • Interfacing with measurement systems and sensors

  • Writing instrumentation code (Python / LabVIEW)

  • Creating reports in Microsoft Office

Professional development opportunities:
  • Gain experience in interfacing with hardware, sensors and instrumentation

  • Writing data acquisition code and analyzing data from images

  • Gain supervision and mentorship from experienced researchers and engineers

  • Gain practical skills and boost your employability, with guidance from Intern Abroad HQ’s Experiential Learning Curriculum to support your learning and cultural intelligence.

What recent interns said about their experience

VR
Vincent Rob
January 2022

My internship experience has been great. I expected to have a hard time communicating with my professors because of the time zone difference, however, sending emails was a great way to combat that issue. My role during the internship was to analyse nano-images of composite material through a microscope. To do this, I used Ilastik and ImageJ to find the probability of decoration particles on the substrate particles. Data analysis is very important to my long-term goals – as I want to be a biomedical engineer. As a biomedical engineer ill need the skills to analyze cells under a microscope. This internship has introduced the basics of analysis and what to look for. I now feel more empowered in my field because through this internship I was able to gain experience with analyzing particles. I truly believe that this internship will help me in my future career. It also helped open my eyes to what I desire to be in the future. I feel empowered to do my best when I arrive in college.

...
HZ
Huiwen Zhang
July 2021

My internship experience has been full and rich. I was given tasks by my supervisors, whose patience made me feel respected and motivated to speak up when there was something I did not understand. In the future I want to apply technical skills to solve practical issues, and in this internship, I was able to use open-source software Ilastik and imageJ, as well as the programming language Python to perform image analysis. I now feel more empowered in my field, as I was pushed to learn new software I previously believed would be much too hard to master. This internship has allowed me to familiarize ideas of machine learning and strengthen my computational skills, which will prove incredibly helpful in my future development. From here, I have a desire to further strengthen my understanding and ability of machine learning, searching for more learning materials and seeking more internship opportunities.

...

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Academic credit available for all internships

Gain course credit from your college or university and meet your academic requirements when completing an internship abroad or remote internship program with Intern Abroad HQ.

Learn about course credit

Program fees

It’s free to apply for this internship. Once we have reviewed your suitability and accepted you onto this program, you’ll need to pay a deposit of US$499 to confirm your place. The remaining balance of your Program Fee (less your initial US$499 deposit payment) will be due within 7 days of being assigned a placement.

Duration
Program Fee
100 hours (3 weeks full time, or 5 weeks part time) $1,099
250 hours (8 weeks full time, or 12 weeks part time) $1,499
350 hours (13 weeks full time, or 17 weeks part time) $1,799
  • Dedicated support before, during, and after your internship
  • Sourcing and securing your internship placement
  • Personalization of your internship plan
  • Orientation and coaching with your supervisor
  • Documented portfolio of your experiential learnings
  • Academic credit facilitation
  • International reference letter
  • Certificate of Internship Completion
  • A deposit of $499 (approximately 499) is required to secure your internship
  • Balance of your Program Fee is due within 7 days of being assigned a placement.
  • All payments attract a 5% transaction fee to cover international banking fees and currency charges.
  • International wire transfer payments attract a minimum fee of $75 USD.
  • Terms and Conditions apply.