Data Analysis & Machine Learning

Intern remotely for up to 350 hours in organizations or start-ups around Europe

This remote internship is the perfect opportunity to gain international experience working on data analysis & machine learning techniques and particular on image classification analysis of nanomaterials. If you are seeking on working for a dynamic start-up and develop an international professional network, then this remote internship program is designed for you. The work will contribute to the development of industrial grade data analysis systems for extracting information from laboratory microscopes.

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Remote Internship on Data Analysis & Machine Learning

This is a remote internship program that can be completed from the comfort of your home.

Interns will have the opportunity to invest in a career in nanomaterial research. This internship will give real-world experience in the contemporary techniques that are used in engineering and computer science to identify patterns of nanomaterials, used for their classification and to analyze them. After an initial literature review the intern will focus on learning to use popular tools for image classification and use this experience to analyze nanomaterials based on their visual patterns. The work will contribute to the understanding of nanomaterials and their fabrication techniques.

Our data analysis & machine learning remote internship program offers electronic/software/chemical engineering graduates & students the opportunity to gain top quality experience interning in this emerging field. With valuable experience, you’ll develop your skills and understanding of using state-of-the-art tools and techniques.

Associated career paths:

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

Fees

By paying for an internship ensures that you get support and a customized professional experience to increase your skills development and fortify your resume.

Learn more on: “Why should you pay for an internship abroad?”

To apply for this internship, its quick, easy and free!

We will review your application and if we accept you on this internship we will ask you to pay a non-refundable deposit of US$250 to secure your place. The remaining of your internship fees (less your initial US$250 deposit payment) will be due no less than 30 days before your internship start date.

• Our fees are transparent with no other hidden fees or extra charges
• To convert these prices to another currency visit the XE currency converter.
• Please read our Terms and Conditions

Internship Details

Internships start on Mondays and interns have a choice to participate to a program between a minimum of 100 hours (3-5 weeks) or up to a maximum of 350 hours (13-17 weeks) .

The remote internship schedule is flexible and it will be agreed between the intern and the supervisor. The schedule will need to accommodate online meetings with the supervisor during their office hours which may be across several timezones. There will be regular communication between the intern and the supervisor through emails and web-calls.

Internship Host: Cerca Trova Ltd is a high-technology industrial SME founded in Sofia, Bulgaria, with capabilities and expertise in the areas of Industrial ICT/IoT Automation/Control, Sensing, Measurement Systems, Artificial Intelligence, Data Acquisition, Composites/Polymers, Technology Design Tools, Mathematical Modelling, Interdisciplinary Finite Element Analysis, Electronics Design, e-Platform development and Interactive Educational Programs. The team members have experience in developing turn-key bespoke solutions and have successfully participated over the past 18 years in a series of research projects (H2020/FP7/FP6/FP5) together with numerous partners from industry, academia, municipals and NGOs, leading to exceptional research outcome and international reputation. The application areas span from automation solutions to chemical analysis for aerospace, agricultural, automotive, marine & medical industry. The company’s diverse portfolio naturally expanded towards academic & educational activities such as Erasmus and Study/Intern Abroad programs

Reviews

Huiwen Zhang: 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.