Part-Time Research Assistant — Lab Automation & Digitalisation

Uppsala Universitet; Uppsala kommun; In loco; SEK 78.120 - 111.600; Part-time

Descrizione del lavoro

Uppsala University, Department of Materials Science and Engineering, invites applications for two research assistant positions within Åutomate. The roles are 20% time for 6 months starting September 2026, located in Uppsala.

As a student, you will work part-time alongside studies, tackling tasks across coding, data processing, electronics, design, and robotics in an interdisciplinary team. You will gain hands-on experience with automation, data infrastructure, and scientific software, with

Competenze

• Enrollment in an undergraduate or advanced study programme, with a maximum of 50% of full-time work for the position.
• Good academic results from a master’s or civil engineering program and completion of at least three years of full-time study.
• Good results from advanced-level courses relevant to Åutomate.
• Experience in at least one of the listed areas (coding, data processing, electronics, design/fabrication, robotics).
• Very good English communication skills, both spoken and written.

Mansioni

• Contribute to tasks in coding, data processing, electronics, design and fabrication, and robotics & automation.
• Work design/planning, implementation/fabrication, and testing of solutions under supervision.
• Document and report work clearly and timely.

Conoscenze

Coding

Data Processing

Electronics

Design & Fabrication

Robotics & Automation

English communication

Independent work

Formazione

Undergraduate/Graduate enrollment

Strong academic record (master’s or civil engineering)

Descrizione del lavoro

Uppsala University, Department of Materials Science and Engineering, invites applications for two research assistant positions within Åutomate. The roles are 20% time for 6 months starting September 2026, located in Uppsala.

As a student, you will work part-time alongside studies, tackling tasks across coding, data processing, electronics, design, and robotics in an interdisciplinary team. You will gain hands-on experience with automation, data infrastructure, and scientific software, with