Gain teaching experience and deepen your Data Science skills!
Tutor for Lecture Data Analysis and Visualization in R (IN) WS 25/26
25.08., Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten
We are looking for motivated students for a tutor position with the course Data Analysis and Visualization in R (IN). This is a great opportunity to deepen your Stats and Machine Learning skills and gain teaching experience! You would give 2 exercises per week, 2 hours each. The total workload would be 8 hours. If you successfully took the course we would be happy to hear from you! Send your application now to
Tutor Recruitment — Data Analysis & Visualization in R (IN) :root{ --bg:#0f; --card:#0b; --accent1:#7dd3fc; --accent2:#8b5cf6; --muted:#9aa7bf; --glass: rgba(,,,0.04); --radius:14px; --max-w:px; } *{box-sizing:border-box} html,body{height:%;margin:0;font-family:Inter,ui-sans-serif,system-ui,-apple-system,"Segoe UI",Roboto,"Helvetica Neue",Arial;color:#e6eef8;background: radial-gradient(px px at 10% 10%, rgba(,92,,0.08), transparent 6%), linear-gradient(deg,# 0%, # %); -webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale;} .wrap{max-width:var(--max-w);margin:40px auto;padding:24px;} .card{ background:linear-gradient(deg, rgba(,,,0.02), rgba(,,,0.01)); border-radius:var(--radius); padding:28px; box-shadow: 0 8px 30px rgba(2,6,23,0.6), inset 0 1px 0 rgba(,,,0.02); border:1px solid rgba(,,,0.03); overflow:hidden; } .header{ display:flex;gap:16px;align-items:center;margin-bottom:18px; } .logo { width:66px;height:66px;border-radius:12px; background:linear-gradient(deg,var(--accent1),var(--accent2)); display:flex;align-items:center;justify-content:center;font-weight:; color:#;font-size:22px;box-shadow:0 6px 18px rgba(,92,,0.18); flex:0 0 66px; } h1{margin:0;font-size:20px;color:#fff;letter-spacing:-0.2px} p.lead{margin:6px 0 0;color:var(--muted);font-size:14px} .grid{display:grid;grid-template-columns:1fr px;gap:20px;margin-top:18px;} @media (max-width:px){ .grid{grid-template-columns:1fr} .aside{order:-1}} .section{background:var(--glass);padding:16px;border-radius:12px;border:1px solid rgba(,,,0.02)} .section h2{margin:0 0 8px;font-size:16px;color:#fff} .section p{margin:0;color:var(--muted);font-size:14px;line-height:1.5} ul.bullets{margin:10px 0 0;padding-left:18px;color:var(--muted)} ul.bullets li{margin:8px 0} .badge{display:inline-block;padding:6px 10px;border-radius:px;background:linear-gradient(90deg,var(--accent1),var(--accent2));color:#;font-weight:;font-size:13px} .cta {display:flex;flex-direction:column;gap:12px;align-items:stretch} .contact{ display:flex;gap:10px;flex-direction:column; } .mail-btn{ display:inline-flex;align-items:center;gap:10px;padding:12px 14px;border-radius:10px; background:linear-gradient(90deg,var(--accent2),var(--accent1));color:#;font-weight:; text-decoration:none;border:0;box-shadow:0 8px 20px rgba(13,9,66,0.35);justify-content:center; } .mail-btn:hover{transform:translateY(-3px);transition:transform .18s ease} .meta{font-size:13px;color:var(--muted);background:transparent;padding:8px;border-radius:8px;border:1px dashed rgba(,,,0.02)} .small{font-size:13px;color:var(--muted)} .signature{margin-top:14px;color:var(--muted);font-size:14px} .pill{display:inline-block;padding:6px 10px;border-radius:px;background:rgba(,,,0.02);font-weight:;color:#cfe9ff;font-size:13px} footer{margin-top:18px;text-align:center;color:var(--muted);font-size:13px} /* subtle decorative corner */ .card:after{ content:""; position:absolute; pointer-events:none; }
GL
Tutors wanted — Data Analysis & Visualization in R (IN)
Join the Gagneurlab DataViz Teaching Team — teach, grow your data-science skills, and boost your CV.
About the role
The Gagneurlab is looking for motivated tutors for the course “Data Analysis and Visualization in R” (IN), a course attended by hundreds of students each year. This is a great opportunity to gain teaching experience, expand your data science abilities, and make connections within the lab and with students.
What you'll do
1. Give 2–3 tutorials per week, ~8h/week in total (incl. exam supervision, correction and weekly meetings).
2. Assist with supervision and exam correction.
3. Mentor students and support their learning in R and data visualization.
Why apply?
4. Gain practical teaching experience.
5. Sharpen and showcase your Data Science & R skills.
6. Boost your CV and expand your professional network.